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distilbert-base-uncased-finetuned-cola

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End of training

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  1. README.md +7 -16
  2. model.safetensors +1 -1
  3. runs/Mar08_15-58-44_50bca828e3b2/events.out.tfevents.1709913531.50bca828e3b2.2324.1 +2 -2
  4. runs/Mar08_16-02-10_50bca828e3b2/events.out.tfevents.1709913731.50bca828e3b2.2324.2 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -3,8 +3,6 @@ license: apache-2.0
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  base_model: distilbert-base-uncased
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  tags:
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  - generated_from_trainer
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- metrics:
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- - matthews_correlation
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  model-index:
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  - name: distilbert-base-uncased-finetuned-cola
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  results: []
@@ -17,8 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6927
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- - Matthews Correlation: 0.5324
 
 
 
 
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  ## Model description
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@@ -45,20 +47,9 @@ The following hyperparameters were used during training:
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  - lr_scheduler_type: linear
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  - num_epochs: 5
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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- |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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- | 0.5444 | 1.0 | 535 | 0.4784 | 0.4217 |
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- | 0.4206 | 2.0 | 1070 | 0.4567 | 0.5146 |
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- | 0.3071 | 3.0 | 1605 | 0.5392 | 0.5134 |
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- | 0.2517 | 4.0 | 2140 | 0.6712 | 0.5154 |
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- | 0.2141 | 5.0 | 2675 | 0.6972 | 0.5279 |
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-
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-
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  ### Framework versions
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  - Transformers 4.38.2
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- - Pytorch 2.2.1
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
 
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  base_model: distilbert-base-uncased
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: distilbert-base-uncased-finetuned-cola
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  results: []
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - eval_loss: 0.7374
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+ - eval_matthews_correlation: 0.0
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+ - eval_runtime: 0.8208
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+ - eval_samples_per_second: 1270.779
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+ - eval_steps_per_second: 80.414
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+ - step: 0
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  ## Model description
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  - lr_scheduler_type: linear
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  - num_epochs: 5
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  ### Framework versions
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  - Transformers 4.38.2
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+ - Pytorch 2.1.0+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
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