End of training

README.md

@@ -18,15 +18,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [mlburnham/Political_DEBATE_large_v1.0](https://huggingface.co/mlburnham/Political_DEBATE_large_v1.0) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1594
-- Accuracy: 0.75
-- F1 Macro: 0.6993
-- Accuracy Balanced: 0.6970
-- F1 Micro: 0.75
-- Precision Macro: 0.7029
-- Recall Macro: 0.6970
-- Precision Micro: 0.75
-- Recall Micro: 0.75
+- Loss: 1.0075
+- Accuracy: 0.8140
+- F1 Macro: 0.7763
+- Accuracy Balanced: 0.7736
+- F1 Micro: 0.8140
+- Precision Macro: 0.8120
+- Recall Macro: 0.7736
+- Precision Micro: 0.8140
+- Recall Micro: 0.8140
 
 ## Model description
 
@@ -45,7 +45,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-06
+- learning_rate: 2e-05
 - train_batch_size: 4
 - eval_batch_size: 10
 - seed: 1234
@@ -58,16 +58,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Accuracy Balanced | F1 Micro | Precision Macro | Recall Macro | Precision Micro | Recall Micro |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|:--------:|:---------------:|:------------:|:---------------:|:------------:|
-| No log        | 1.0   | 426  | 0.8698          | 0.7404   | 0.6916   | 0.6894            | 0.7404   | 0.6950          | 0.6894       | 0.7404          | 0.7404       |
-| 1.7095        | 2.0   | 852  | 0.9500          | 0.7404   | 0.7020   | 0.7159            | 0.7404   | 0.6989          | 0.7159       | 0.7404          | 0.7404       |
-| 0.5469        | 3.0   | 1278 | 0.9480          | 0.7404   | 0.7025   | 0.7159            | 0.7404   | 0.6987          | 0.7159       | 0.7404          | 0.7404       |
-| 0.3189        | 4.0   | 1704 | 1.1336          | 0.7596   | 0.7068   | 0.7045            | 0.7596   | 0.7111          | 0.7045       | 0.7596          | 0.7596       |
-| 0.1958        | 5.0   | 2130 | 1.1594          | 0.75     | 0.6993   | 0.6970            | 0.75     | 0.7029          | 0.6970       | 0.75            | 0.75         |
+| 0.3663        | 1.0   | 538  | 1.0075          | 0.8140   | 0.7763   | 0.7736            | 0.8140   | 0.8120          | 0.7736       | 0.8140          | 0.8140       |
+| 0.3854        | 2.0   | 1076 | 1.1733          | 0.7326   | 0.6903   | 0.7285            | 0.7326   | 0.6831          | 0.7285       | 0.7326          | 0.7326       |
+| 0.1758        | 3.0   | 1614 | 1.4595          | 0.7326   | 0.6823   | 0.7215            | 0.7326   | 0.6760          | 0.7215       | 0.7326          | 0.7326       |
+| 0.0743        | 4.0   | 2152 | 1.6271          | 0.7442   | 0.6692   | 0.6851            | 0.7442   | 0.6634          | 0.6851       | 0.7442          | 0.7442       |
+| 0.0343        | 5.0   | 2690 | 1.7175          | 0.7326   | 0.6575   | 0.6750            | 0.7326   | 0.6531          | 0.6750       | 0.7326          | 0.7326       |
 
 
 ### Framework versions
 
 - Transformers 4.44.2
 - Pytorch 2.5.0+cu121
-- Datasets 3.0.2
+- Datasets 3.1.0
 - Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4c26a86c8a312550b026d232f5c00362d6a0f50a8cec142f57d52b76aa6cb607
+oid sha256:dcddc37690846a9c68f49c5913805aaaa909bbb3e1cabb7b5545446ccfecc6da
 size 1740304440

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:108dbecfef22dba08fbae2a0332395e4338ec39048a65c2b5caf03f88f8201e3
+oid sha256:964d737988a7072178832261d85c9762339a2dd3dc3be15d99fa52c56ece6d83
 size 5304