End of training

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
-license: apache-2.0
-base_model: distilbert/distilbert-base-uncased
+license: mit
+base_model: roberta-base
 tags:
 - generated_from_trainer
 metrics:
@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # students_scores_model
 
-This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9041
-- F1: 0.6008
+- Loss: 0.8747
+- F1: 0.6229
 
 ## Model description
 
@@ -39,19 +39,21 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 3
+- mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.1043        | 1.0   | 563  | 0.9514          | 0.5699 |
-| 0.8911        | 2.0   | 1126 | 0.9041          | 0.6008 |
+| No log        | 1.0   | 282  | 1.1173          | 0.4836 |
+| 0.9565        | 2.0   | 564  | 0.8655          | 0.6161 |
+| 0.9565        | 3.0   | 846  | 0.8747          | 0.6229 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b08f321ac19bbc684346db157b8cd46dc519fd6a1ff083dbf6e031c118443ea3
 size 498625128