Upload 12 files
Browse files- README.md +7 -6
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- tokenizer.json +2 -2
- trainer_state.json +733 -0
- training_args.bin +3 -0
README.md
CHANGED
|
@@ -1,8 +1,6 @@
|
|
| 1 |
---
|
| 2 |
-
|
| 3 |
-
|
| 4 |
-
- trl
|
| 5 |
-
- sft
|
| 6 |
---
|
| 7 |
|
| 8 |
# Model Card for Model ID
|
|
@@ -17,7 +15,7 @@ tags:
|
|
| 17 |
|
| 18 |
<!-- Provide a longer summary of what this model is. -->
|
| 19 |
|
| 20 |
-
|
| 21 |
|
| 22 |
- **Developed by:** [More Information Needed]
|
| 23 |
- **Funded by [optional]:** [More Information Needed]
|
|
@@ -198,4 +196,7 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
|
|
| 198 |
|
| 199 |
## Model Card Contact
|
| 200 |
|
| 201 |
-
[More Information Needed]
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
+
base_model: google/gemma-2-9b
|
| 3 |
+
library_name: peft
|
|
|
|
|
|
|
| 4 |
---
|
| 5 |
|
| 6 |
# Model Card for Model ID
|
|
|
|
| 15 |
|
| 16 |
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
|
| 18 |
+
|
| 19 |
|
| 20 |
- **Developed by:** [More Information Needed]
|
| 21 |
- **Funded by [optional]:** [More Information Needed]
|
|
|
|
| 196 |
|
| 197 |
## Model Card Contact
|
| 198 |
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.12.0
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f5913b7385b8562b01f63fb1cd788498e216d7a9862f01731a9efe25d9b0d2b1
|
| 3 |
+
size 108113968
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9cf95fcff472efc69a227ea88ca5cb80a367502f03e269c9d4d4d18e2b58a2bb
|
| 3 |
+
size 54771268
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:52cca5856c568bc52c683b690919168fa27bfbdfefc6e0a62355afa6011157c3
|
| 3 |
+
size 14244
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3a60c7d771c1fd156acee762fba03c724cb41829a3f71df370ecd1d20b134982
|
| 3 |
+
size 1064
|
tokenizer.json
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1d12cb475f583be7a862eb1e11c3e558581c2f9a65be8e8a8ea86381ed22f301
|
| 3 |
+
size 17525456
|
trainer_state.json
ADDED
|
@@ -0,0 +1,733 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 16.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 100,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.16,
|
| 13 |
+
"grad_norm": 1.0079981088638306,
|
| 14 |
+
"learning_rate": 4e-05,
|
| 15 |
+
"loss": 2.3624,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.32,
|
| 20 |
+
"grad_norm": 1.0123796463012695,
|
| 21 |
+
"learning_rate": 8e-05,
|
| 22 |
+
"loss": 2.4117,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.48,
|
| 27 |
+
"grad_norm": 1.0385504961013794,
|
| 28 |
+
"learning_rate": 0.00012,
|
| 29 |
+
"loss": 2.4351,
|
| 30 |
+
"step": 3
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.64,
|
| 34 |
+
"grad_norm": 0.7601240277290344,
|
| 35 |
+
"learning_rate": 0.00016,
|
| 36 |
+
"loss": 1.9867,
|
| 37 |
+
"step": 4
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.8,
|
| 41 |
+
"grad_norm": 0.9805667400360107,
|
| 42 |
+
"learning_rate": 0.0002,
|
| 43 |
+
"loss": 2.0655,
|
| 44 |
+
"step": 5
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.96,
|
| 48 |
+
"grad_norm": 1.6322834491729736,
|
| 49 |
+
"learning_rate": 0.00019789473684210526,
|
| 50 |
+
"loss": 1.8377,
|
| 51 |
+
"step": 6
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 1.12,
|
| 55 |
+
"grad_norm": 1.1208696365356445,
|
| 56 |
+
"learning_rate": 0.00019578947368421054,
|
| 57 |
+
"loss": 1.5558,
|
| 58 |
+
"step": 7
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 1.28,
|
| 62 |
+
"grad_norm": 1.3962080478668213,
|
| 63 |
+
"learning_rate": 0.0001936842105263158,
|
| 64 |
+
"loss": 1.4199,
|
| 65 |
+
"step": 8
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 1.44,
|
| 69 |
+
"grad_norm": 1.4532853364944458,
|
| 70 |
+
"learning_rate": 0.00019157894736842104,
|
| 71 |
+
"loss": 1.2996,
|
| 72 |
+
"step": 9
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 1.6,
|
| 76 |
+
"grad_norm": 2.3988616466522217,
|
| 77 |
+
"learning_rate": 0.00018947368421052632,
|
| 78 |
+
"loss": 1.2371,
|
| 79 |
+
"step": 10
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 1.76,
|
| 83 |
+
"grad_norm": 1.3582508563995361,
|
| 84 |
+
"learning_rate": 0.0001873684210526316,
|
| 85 |
+
"loss": 1.1839,
|
| 86 |
+
"step": 11
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 1.92,
|
| 90 |
+
"grad_norm": 1.2997236251831055,
|
| 91 |
+
"learning_rate": 0.00018526315789473685,
|
| 92 |
+
"loss": 0.983,
|
| 93 |
+
"step": 12
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 2.08,
|
| 97 |
+
"grad_norm": 1.1868802309036255,
|
| 98 |
+
"learning_rate": 0.0001831578947368421,
|
| 99 |
+
"loss": 0.7447,
|
| 100 |
+
"step": 13
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 2.24,
|
| 104 |
+
"grad_norm": 1.0286939144134521,
|
| 105 |
+
"learning_rate": 0.00018105263157894739,
|
| 106 |
+
"loss": 0.8524,
|
| 107 |
+
"step": 14
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 2.4,
|
| 111 |
+
"grad_norm": 1.00070321559906,
|
| 112 |
+
"learning_rate": 0.00017894736842105264,
|
| 113 |
+
"loss": 0.8649,
|
| 114 |
+
"step": 15
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 2.56,
|
| 118 |
+
"grad_norm": 1.4189987182617188,
|
| 119 |
+
"learning_rate": 0.0001768421052631579,
|
| 120 |
+
"loss": 0.8116,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 2.7199999999999998,
|
| 125 |
+
"grad_norm": 1.2303727865219116,
|
| 126 |
+
"learning_rate": 0.00017473684210526317,
|
| 127 |
+
"loss": 0.8071,
|
| 128 |
+
"step": 17
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 2.88,
|
| 132 |
+
"grad_norm": 0.9925879240036011,
|
| 133 |
+
"learning_rate": 0.00017263157894736842,
|
| 134 |
+
"loss": 0.7081,
|
| 135 |
+
"step": 18
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 3.04,
|
| 139 |
+
"grad_norm": 1.0683646202087402,
|
| 140 |
+
"learning_rate": 0.0001705263157894737,
|
| 141 |
+
"loss": 0.5269,
|
| 142 |
+
"step": 19
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 3.2,
|
| 146 |
+
"grad_norm": 1.0474812984466553,
|
| 147 |
+
"learning_rate": 0.00016842105263157895,
|
| 148 |
+
"loss": 0.6947,
|
| 149 |
+
"step": 20
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 3.36,
|
| 153 |
+
"grad_norm": 1.0291672945022583,
|
| 154 |
+
"learning_rate": 0.00016631578947368423,
|
| 155 |
+
"loss": 0.5014,
|
| 156 |
+
"step": 21
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 3.52,
|
| 160 |
+
"grad_norm": 1.1327933073043823,
|
| 161 |
+
"learning_rate": 0.00016421052631578948,
|
| 162 |
+
"loss": 0.481,
|
| 163 |
+
"step": 22
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 3.68,
|
| 167 |
+
"grad_norm": 1.4890342950820923,
|
| 168 |
+
"learning_rate": 0.00016210526315789473,
|
| 169 |
+
"loss": 0.5253,
|
| 170 |
+
"step": 23
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 3.84,
|
| 174 |
+
"grad_norm": 1.532833456993103,
|
| 175 |
+
"learning_rate": 0.00016,
|
| 176 |
+
"loss": 0.4937,
|
| 177 |
+
"step": 24
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 4.0,
|
| 181 |
+
"grad_norm": 1.7453362941741943,
|
| 182 |
+
"learning_rate": 0.00015789473684210527,
|
| 183 |
+
"loss": 0.5188,
|
| 184 |
+
"step": 25
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 4.16,
|
| 188 |
+
"grad_norm": 1.2242546081542969,
|
| 189 |
+
"learning_rate": 0.00015578947368421052,
|
| 190 |
+
"loss": 0.1893,
|
| 191 |
+
"step": 26
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 4.32,
|
| 195 |
+
"grad_norm": 1.7437238693237305,
|
| 196 |
+
"learning_rate": 0.0001536842105263158,
|
| 197 |
+
"loss": 0.433,
|
| 198 |
+
"step": 27
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 4.48,
|
| 202 |
+
"grad_norm": 1.4618209600448608,
|
| 203 |
+
"learning_rate": 0.00015157894736842108,
|
| 204 |
+
"loss": 0.3996,
|
| 205 |
+
"step": 28
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 4.64,
|
| 209 |
+
"grad_norm": 1.3685592412948608,
|
| 210 |
+
"learning_rate": 0.00014947368421052633,
|
| 211 |
+
"loss": 0.2189,
|
| 212 |
+
"step": 29
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 4.8,
|
| 216 |
+
"grad_norm": 1.741402268409729,
|
| 217 |
+
"learning_rate": 0.00014736842105263158,
|
| 218 |
+
"loss": 0.2934,
|
| 219 |
+
"step": 30
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 4.96,
|
| 223 |
+
"grad_norm": 1.5545222759246826,
|
| 224 |
+
"learning_rate": 0.00014526315789473686,
|
| 225 |
+
"loss": 0.2099,
|
| 226 |
+
"step": 31
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 5.12,
|
| 230 |
+
"grad_norm": 1.2092806100845337,
|
| 231 |
+
"learning_rate": 0.0001431578947368421,
|
| 232 |
+
"loss": 0.1916,
|
| 233 |
+
"step": 32
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 5.28,
|
| 237 |
+
"grad_norm": 1.7175395488739014,
|
| 238 |
+
"learning_rate": 0.00014105263157894736,
|
| 239 |
+
"loss": 0.2527,
|
| 240 |
+
"step": 33
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 5.44,
|
| 244 |
+
"grad_norm": 1.368059754371643,
|
| 245 |
+
"learning_rate": 0.00013894736842105264,
|
| 246 |
+
"loss": 0.114,
|
| 247 |
+
"step": 34
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 5.6,
|
| 251 |
+
"grad_norm": 1.6632587909698486,
|
| 252 |
+
"learning_rate": 0.0001368421052631579,
|
| 253 |
+
"loss": 0.1549,
|
| 254 |
+
"step": 35
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 5.76,
|
| 258 |
+
"grad_norm": 1.6607255935668945,
|
| 259 |
+
"learning_rate": 0.00013473684210526317,
|
| 260 |
+
"loss": 0.1171,
|
| 261 |
+
"step": 36
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 5.92,
|
| 265 |
+
"grad_norm": 2.4954917430877686,
|
| 266 |
+
"learning_rate": 0.00013263157894736842,
|
| 267 |
+
"loss": 0.1614,
|
| 268 |
+
"step": 37
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 6.08,
|
| 272 |
+
"grad_norm": 1.7216722965240479,
|
| 273 |
+
"learning_rate": 0.0001305263157894737,
|
| 274 |
+
"loss": 0.1459,
|
| 275 |
+
"step": 38
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 6.24,
|
| 279 |
+
"grad_norm": 0.9449135065078735,
|
| 280 |
+
"learning_rate": 0.00012842105263157895,
|
| 281 |
+
"loss": 0.1001,
|
| 282 |
+
"step": 39
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 6.4,
|
| 286 |
+
"grad_norm": 1.4137742519378662,
|
| 287 |
+
"learning_rate": 0.0001263157894736842,
|
| 288 |
+
"loss": 0.0859,
|
| 289 |
+
"step": 40
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 6.5600000000000005,
|
| 293 |
+
"grad_norm": 1.8110110759735107,
|
| 294 |
+
"learning_rate": 0.00012421052631578949,
|
| 295 |
+
"loss": 0.1404,
|
| 296 |
+
"step": 41
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 6.72,
|
| 300 |
+
"grad_norm": 1.1322952508926392,
|
| 301 |
+
"learning_rate": 0.00012210526315789474,
|
| 302 |
+
"loss": 0.0687,
|
| 303 |
+
"step": 42
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 6.88,
|
| 307 |
+
"grad_norm": 2.2961461544036865,
|
| 308 |
+
"learning_rate": 0.00012,
|
| 309 |
+
"loss": 0.1203,
|
| 310 |
+
"step": 43
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 7.04,
|
| 314 |
+
"grad_norm": 1.5652666091918945,
|
| 315 |
+
"learning_rate": 0.00011789473684210525,
|
| 316 |
+
"loss": 0.1299,
|
| 317 |
+
"step": 44
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 7.2,
|
| 321 |
+
"grad_norm": 0.7390972375869751,
|
| 322 |
+
"learning_rate": 0.00011578947368421053,
|
| 323 |
+
"loss": 0.0595,
|
| 324 |
+
"step": 45
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 7.36,
|
| 328 |
+
"grad_norm": 1.0376925468444824,
|
| 329 |
+
"learning_rate": 0.0001136842105263158,
|
| 330 |
+
"loss": 0.0578,
|
| 331 |
+
"step": 46
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 7.52,
|
| 335 |
+
"grad_norm": 0.9976247549057007,
|
| 336 |
+
"learning_rate": 0.00011157894736842105,
|
| 337 |
+
"loss": 0.0695,
|
| 338 |
+
"step": 47
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 7.68,
|
| 342 |
+
"grad_norm": 1.0853309631347656,
|
| 343 |
+
"learning_rate": 0.00010947368421052633,
|
| 344 |
+
"loss": 0.0985,
|
| 345 |
+
"step": 48
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 7.84,
|
| 349 |
+
"grad_norm": 1.3621833324432373,
|
| 350 |
+
"learning_rate": 0.00010736842105263158,
|
| 351 |
+
"loss": 0.1269,
|
| 352 |
+
"step": 49
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 8.0,
|
| 356 |
+
"grad_norm": 0.8868013024330139,
|
| 357 |
+
"learning_rate": 0.00010526315789473685,
|
| 358 |
+
"loss": 0.0641,
|
| 359 |
+
"step": 50
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 8.16,
|
| 363 |
+
"grad_norm": 0.6473409533500671,
|
| 364 |
+
"learning_rate": 0.00010315789473684211,
|
| 365 |
+
"loss": 0.0474,
|
| 366 |
+
"step": 51
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 8.32,
|
| 370 |
+
"grad_norm": 1.6032112836837769,
|
| 371 |
+
"learning_rate": 0.00010105263157894738,
|
| 372 |
+
"loss": 0.0597,
|
| 373 |
+
"step": 52
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 8.48,
|
| 377 |
+
"grad_norm": 1.120687484741211,
|
| 378 |
+
"learning_rate": 9.894736842105263e-05,
|
| 379 |
+
"loss": 0.0582,
|
| 380 |
+
"step": 53
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 8.64,
|
| 384 |
+
"grad_norm": 0.7064136862754822,
|
| 385 |
+
"learning_rate": 9.68421052631579e-05,
|
| 386 |
+
"loss": 0.0557,
|
| 387 |
+
"step": 54
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 8.8,
|
| 391 |
+
"grad_norm": 0.5838208794593811,
|
| 392 |
+
"learning_rate": 9.473684210526316e-05,
|
| 393 |
+
"loss": 0.0436,
|
| 394 |
+
"step": 55
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 8.96,
|
| 398 |
+
"grad_norm": 1.2315547466278076,
|
| 399 |
+
"learning_rate": 9.263157894736843e-05,
|
| 400 |
+
"loss": 0.063,
|
| 401 |
+
"step": 56
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 9.12,
|
| 405 |
+
"grad_norm": 0.3518936336040497,
|
| 406 |
+
"learning_rate": 9.052631578947369e-05,
|
| 407 |
+
"loss": 0.0311,
|
| 408 |
+
"step": 57
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 9.28,
|
| 412 |
+
"grad_norm": 0.6926944851875305,
|
| 413 |
+
"learning_rate": 8.842105263157894e-05,
|
| 414 |
+
"loss": 0.039,
|
| 415 |
+
"step": 58
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 9.44,
|
| 419 |
+
"grad_norm": 0.26300671696662903,
|
| 420 |
+
"learning_rate": 8.631578947368421e-05,
|
| 421 |
+
"loss": 0.0252,
|
| 422 |
+
"step": 59
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 9.6,
|
| 426 |
+
"grad_norm": 0.7903566360473633,
|
| 427 |
+
"learning_rate": 8.421052631578948e-05,
|
| 428 |
+
"loss": 0.0415,
|
| 429 |
+
"step": 60
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 9.76,
|
| 433 |
+
"grad_norm": 0.5427919626235962,
|
| 434 |
+
"learning_rate": 8.210526315789474e-05,
|
| 435 |
+
"loss": 0.0453,
|
| 436 |
+
"step": 61
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 9.92,
|
| 440 |
+
"grad_norm": 0.5827217698097229,
|
| 441 |
+
"learning_rate": 8e-05,
|
| 442 |
+
"loss": 0.0368,
|
| 443 |
+
"step": 62
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 10.08,
|
| 447 |
+
"grad_norm": 1.45575749874115,
|
| 448 |
+
"learning_rate": 7.789473684210526e-05,
|
| 449 |
+
"loss": 0.0736,
|
| 450 |
+
"step": 63
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 10.24,
|
| 454 |
+
"grad_norm": 0.32767948508262634,
|
| 455 |
+
"learning_rate": 7.578947368421054e-05,
|
| 456 |
+
"loss": 0.0316,
|
| 457 |
+
"step": 64
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 10.4,
|
| 461 |
+
"grad_norm": 0.30059218406677246,
|
| 462 |
+
"learning_rate": 7.368421052631579e-05,
|
| 463 |
+
"loss": 0.0277,
|
| 464 |
+
"step": 65
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 10.56,
|
| 468 |
+
"grad_norm": 0.4859299659729004,
|
| 469 |
+
"learning_rate": 7.157894736842105e-05,
|
| 470 |
+
"loss": 0.0313,
|
| 471 |
+
"step": 66
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 10.72,
|
| 475 |
+
"grad_norm": 0.4874284267425537,
|
| 476 |
+
"learning_rate": 6.947368421052632e-05,
|
| 477 |
+
"loss": 0.0322,
|
| 478 |
+
"step": 67
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 10.88,
|
| 482 |
+
"grad_norm": 0.41711848974227905,
|
| 483 |
+
"learning_rate": 6.736842105263159e-05,
|
| 484 |
+
"loss": 0.0389,
|
| 485 |
+
"step": 68
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 11.04,
|
| 489 |
+
"grad_norm": 0.8408872485160828,
|
| 490 |
+
"learning_rate": 6.526315789473685e-05,
|
| 491 |
+
"loss": 0.0312,
|
| 492 |
+
"step": 69
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 11.2,
|
| 496 |
+
"grad_norm": 0.32355204224586487,
|
| 497 |
+
"learning_rate": 6.31578947368421e-05,
|
| 498 |
+
"loss": 0.0328,
|
| 499 |
+
"step": 70
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 11.36,
|
| 503 |
+
"grad_norm": 0.42406928539276123,
|
| 504 |
+
"learning_rate": 6.105263157894737e-05,
|
| 505 |
+
"loss": 0.0277,
|
| 506 |
+
"step": 71
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 11.52,
|
| 510 |
+
"grad_norm": 0.7678600549697876,
|
| 511 |
+
"learning_rate": 5.894736842105263e-05,
|
| 512 |
+
"loss": 0.0329,
|
| 513 |
+
"step": 72
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 11.68,
|
| 517 |
+
"grad_norm": 0.29065871238708496,
|
| 518 |
+
"learning_rate": 5.68421052631579e-05,
|
| 519 |
+
"loss": 0.0297,
|
| 520 |
+
"step": 73
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 11.84,
|
| 524 |
+
"grad_norm": 0.5853772163391113,
|
| 525 |
+
"learning_rate": 5.4736842105263165e-05,
|
| 526 |
+
"loss": 0.0393,
|
| 527 |
+
"step": 74
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 12.0,
|
| 531 |
+
"grad_norm": 0.7088480591773987,
|
| 532 |
+
"learning_rate": 5.2631578947368424e-05,
|
| 533 |
+
"loss": 0.0344,
|
| 534 |
+
"step": 75
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 12.16,
|
| 538 |
+
"grad_norm": 0.19609542191028595,
|
| 539 |
+
"learning_rate": 5.052631578947369e-05,
|
| 540 |
+
"loss": 0.0232,
|
| 541 |
+
"step": 76
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 12.32,
|
| 545 |
+
"grad_norm": 0.31028512120246887,
|
| 546 |
+
"learning_rate": 4.842105263157895e-05,
|
| 547 |
+
"loss": 0.0273,
|
| 548 |
+
"step": 77
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 12.48,
|
| 552 |
+
"grad_norm": 0.4248906672000885,
|
| 553 |
+
"learning_rate": 4.6315789473684214e-05,
|
| 554 |
+
"loss": 0.0315,
|
| 555 |
+
"step": 78
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 12.64,
|
| 559 |
+
"grad_norm": 0.4214076101779938,
|
| 560 |
+
"learning_rate": 4.421052631578947e-05,
|
| 561 |
+
"loss": 0.0309,
|
| 562 |
+
"step": 79
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 12.8,
|
| 566 |
+
"grad_norm": 0.4250756502151489,
|
| 567 |
+
"learning_rate": 4.210526315789474e-05,
|
| 568 |
+
"loss": 0.0285,
|
| 569 |
+
"step": 80
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 12.96,
|
| 573 |
+
"grad_norm": 0.2500416934490204,
|
| 574 |
+
"learning_rate": 4e-05,
|
| 575 |
+
"loss": 0.0256,
|
| 576 |
+
"step": 81
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 13.12,
|
| 580 |
+
"grad_norm": 0.2516506314277649,
|
| 581 |
+
"learning_rate": 3.789473684210527e-05,
|
| 582 |
+
"loss": 0.0244,
|
| 583 |
+
"step": 82
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 13.28,
|
| 587 |
+
"grad_norm": 0.217052161693573,
|
| 588 |
+
"learning_rate": 3.578947368421053e-05,
|
| 589 |
+
"loss": 0.0241,
|
| 590 |
+
"step": 83
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 13.44,
|
| 594 |
+
"grad_norm": 0.4375220835208893,
|
| 595 |
+
"learning_rate": 3.368421052631579e-05,
|
| 596 |
+
"loss": 0.0308,
|
| 597 |
+
"step": 84
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 13.6,
|
| 601 |
+
"grad_norm": 0.23626229166984558,
|
| 602 |
+
"learning_rate": 3.157894736842105e-05,
|
| 603 |
+
"loss": 0.029,
|
| 604 |
+
"step": 85
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 13.76,
|
| 608 |
+
"grad_norm": 0.3816908001899719,
|
| 609 |
+
"learning_rate": 2.9473684210526314e-05,
|
| 610 |
+
"loss": 0.0251,
|
| 611 |
+
"step": 86
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 13.92,
|
| 615 |
+
"grad_norm": 0.17371943593025208,
|
| 616 |
+
"learning_rate": 2.7368421052631583e-05,
|
| 617 |
+
"loss": 0.0203,
|
| 618 |
+
"step": 87
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 14.08,
|
| 622 |
+
"grad_norm": 0.21958455443382263,
|
| 623 |
+
"learning_rate": 2.5263157894736845e-05,
|
| 624 |
+
"loss": 0.0265,
|
| 625 |
+
"step": 88
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 14.24,
|
| 629 |
+
"grad_norm": 0.2628728151321411,
|
| 630 |
+
"learning_rate": 2.3157894736842107e-05,
|
| 631 |
+
"loss": 0.0242,
|
| 632 |
+
"step": 89
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 14.4,
|
| 636 |
+
"grad_norm": 0.2763591408729553,
|
| 637 |
+
"learning_rate": 2.105263157894737e-05,
|
| 638 |
+
"loss": 0.0299,
|
| 639 |
+
"step": 90
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 14.56,
|
| 643 |
+
"grad_norm": 0.2944229245185852,
|
| 644 |
+
"learning_rate": 1.8947368421052634e-05,
|
| 645 |
+
"loss": 0.0244,
|
| 646 |
+
"step": 91
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 14.72,
|
| 650 |
+
"grad_norm": 0.28353527188301086,
|
| 651 |
+
"learning_rate": 1.6842105263157896e-05,
|
| 652 |
+
"loss": 0.0241,
|
| 653 |
+
"step": 92
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 14.88,
|
| 657 |
+
"grad_norm": 0.2161315530538559,
|
| 658 |
+
"learning_rate": 1.4736842105263157e-05,
|
| 659 |
+
"loss": 0.024,
|
| 660 |
+
"step": 93
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 15.04,
|
| 664 |
+
"grad_norm": 0.2228800654411316,
|
| 665 |
+
"learning_rate": 1.2631578947368422e-05,
|
| 666 |
+
"loss": 0.0263,
|
| 667 |
+
"step": 94
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 15.2,
|
| 671 |
+
"grad_norm": 0.17299261689186096,
|
| 672 |
+
"learning_rate": 1.0526315789473684e-05,
|
| 673 |
+
"loss": 0.0227,
|
| 674 |
+
"step": 95
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 15.36,
|
| 678 |
+
"grad_norm": 0.21846872568130493,
|
| 679 |
+
"learning_rate": 8.421052631578948e-06,
|
| 680 |
+
"loss": 0.0223,
|
| 681 |
+
"step": 96
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 15.52,
|
| 685 |
+
"grad_norm": 0.23234839737415314,
|
| 686 |
+
"learning_rate": 6.315789473684211e-06,
|
| 687 |
+
"loss": 0.0269,
|
| 688 |
+
"step": 97
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 15.68,
|
| 692 |
+
"grad_norm": 0.217283234000206,
|
| 693 |
+
"learning_rate": 4.210526315789474e-06,
|
| 694 |
+
"loss": 0.0259,
|
| 695 |
+
"step": 98
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 15.84,
|
| 699 |
+
"grad_norm": 0.2666471600532532,
|
| 700 |
+
"learning_rate": 2.105263157894737e-06,
|
| 701 |
+
"loss": 0.027,
|
| 702 |
+
"step": 99
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 16.0,
|
| 706 |
+
"grad_norm": 0.2889624536037445,
|
| 707 |
+
"learning_rate": 0.0,
|
| 708 |
+
"loss": 0.0248,
|
| 709 |
+
"step": 100
|
| 710 |
+
}
|
| 711 |
+
],
|
| 712 |
+
"logging_steps": 1,
|
| 713 |
+
"max_steps": 100,
|
| 714 |
+
"num_input_tokens_seen": 0,
|
| 715 |
+
"num_train_epochs": 17,
|
| 716 |
+
"save_steps": 500,
|
| 717 |
+
"stateful_callbacks": {
|
| 718 |
+
"TrainerControl": {
|
| 719 |
+
"args": {
|
| 720 |
+
"should_epoch_stop": false,
|
| 721 |
+
"should_evaluate": false,
|
| 722 |
+
"should_log": false,
|
| 723 |
+
"should_save": true,
|
| 724 |
+
"should_training_stop": true
|
| 725 |
+
},
|
| 726 |
+
"attributes": {}
|
| 727 |
+
}
|
| 728 |
+
},
|
| 729 |
+
"total_flos": 2992005070258176.0,
|
| 730 |
+
"train_batch_size": 1,
|
| 731 |
+
"trial_name": null,
|
| 732 |
+
"trial_params": null
|
| 733 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6426d052434092d500983e1c973e7606b3ad985a6331282f103ce53d005aae7b
|
| 3 |
+
size 5432
|