Update README.md
Browse files
README.md
CHANGED
|
@@ -14,22 +14,13 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 14 |
|
| 15 |
# paligemma-architecture
|
| 16 |
|
| 17 |
-
This model is a fine-tuned version of [google/paligemma2-3b-pt-448](https://huggingface.co/google/paligemma2-3b-pt-448) on
|
| 18 |
|
| 19 |
-
## Model description
|
| 20 |
-
|
| 21 |
-
More information needed
|
| 22 |
-
|
| 23 |
-
## Intended uses & limitations
|
| 24 |
-
|
| 25 |
-
More information needed
|
| 26 |
-
|
| 27 |
-
## Training and evaluation data
|
| 28 |
-
|
| 29 |
-
More information needed
|
| 30 |
|
| 31 |
## Training procedure
|
| 32 |
|
|
|
|
|
|
|
| 33 |
### Training hyperparameters
|
| 34 |
|
| 35 |
The following hyperparameters were used during training:
|
|
@@ -46,7 +37,10 @@ The following hyperparameters were used during training:
|
|
| 46 |
|
| 47 |
### Training results
|
| 48 |
|
| 49 |
-
|
|
|
|
|
|
|
|
|
|
| 50 |
|
| 51 |
### Framework versions
|
| 52 |
|
|
|
|
| 14 |
|
| 15 |
# paligemma-architecture
|
| 16 |
|
| 17 |
+
This model is a fine-tuned version of [google/paligemma2-3b-pt-448](https://huggingface.co/google/paligemma2-3b-pt-448) on a custom architecture dataset.
|
| 18 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 19 |
|
| 20 |
## Training procedure
|
| 21 |
|
| 22 |
+
Followed the [notebook from smol-vision](https://github.com/merveenoyan/smol-vision/blob/main/Fine_tune_PaliGemma.ipynb), adjusted dataset loading and some parameters.
|
| 23 |
+
|
| 24 |
### Training hyperparameters
|
| 25 |
|
| 26 |
The following hyperparameters were used during training:
|
|
|
|
| 37 |
|
| 38 |
### Training results
|
| 39 |
|
| 40 |
+
TrainOutput(global_step=352, training_loss=7.797419488430023,
|
| 41 |
+
metrics={'train_runtime': 1653.6164, 'train_samples_per_second': 1.705,
|
| 42 |
+
'train_steps_per_second': 0.213, 'total_flos': 5.772661476596784e+16,
|
| 43 |
+
'train_loss': 7.797419488430023, 'epoch': 3.9645390070921986})
|
| 44 |
|
| 45 |
### Framework versions
|
| 46 |
|