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Training in progress, epoch 1

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  1. README.md +16 -7
  2. model.safetensors +1 -1
  3. run-0/checkpoint-14/model.safetensors +1 -1
  4. run-0/checkpoint-14/optimizer.pt +2 -2
  5. run-0/checkpoint-14/rng_state.pth +2 -2
  6. run-0/checkpoint-14/scheduler.pt +1 -1
  7. run-0/checkpoint-14/trainer_state.json +9 -9
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  9. run-1/checkpoint-14/model.safetensors +1 -1
  10. run-1/checkpoint-14/optimizer.pt +2 -2
  11. run-1/checkpoint-14/rng_state.pth +2 -2
  12. run-1/checkpoint-14/scheduler.pt +1 -1
  13. run-1/checkpoint-14/trainer_state.json +8 -8
  14. run-1/checkpoint-14/training_args.bin +2 -2
  15. run-2/checkpoint-214/model.safetensors +1 -1
  16. run-2/checkpoint-214/optimizer.pt +2 -2
  17. run-2/checkpoint-214/rng_state.pth +2 -2
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  19. run-2/checkpoint-214/trainer_state.json +9 -9
  20. run-2/checkpoint-214/training_args.bin +2 -2
  21. run-2/checkpoint-428/model.safetensors +1 -1
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  25. run-2/checkpoint-428/trainer_state.json +15 -15
  26. run-2/checkpoint-428/training_args.bin +2 -2
  27. run-2/checkpoint-642/model.safetensors +1 -1
  28. run-2/checkpoint-642/optimizer.pt +2 -2
  29. run-2/checkpoint-642/rng_state.pth +2 -2
  30. run-2/checkpoint-642/scheduler.pt +1 -1
  31. run-2/checkpoint-642/trainer_state.json +25 -25
  32. run-2/checkpoint-642/training_args.bin +2 -2
  33. run-2/checkpoint-856/model.safetensors +1 -1
  34. run-2/checkpoint-856/optimizer.pt +2 -2
  35. run-2/checkpoint-856/rng_state.pth +2 -2
  36. run-2/checkpoint-856/scheduler.pt +1 -1
  37. run-2/checkpoint-856/trainer_state.json +30 -30
  38. run-2/checkpoint-856/training_args.bin +2 -2
  39. run-5/checkpoint-28/config.json +25 -0
  40. run-5/checkpoint-28/model.safetensors +3 -0
  41. run-5/checkpoint-28/optimizer.pt +3 -0
  42. run-5/checkpoint-28/rng_state.pth +3 -0
  43. run-5/checkpoint-28/scheduler.pt +3 -0
  44. run-5/checkpoint-28/special_tokens_map.json +7 -0
  45. run-5/checkpoint-28/tokenizer.json +0 -0
  46. run-5/checkpoint-28/tokenizer_config.json +55 -0
  47. run-5/checkpoint-28/trainer_state.json +44 -0
  48. run-5/checkpoint-28/training_args.bin +3 -0
  49. run-5/checkpoint-28/vocab.txt +0 -0
  50. run-5/checkpoint-42/config.json +25 -0
README.md CHANGED
@@ -3,6 +3,8 @@ 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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  model-index:
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  - name: distilbert-base-uncased-finetuned-cola
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  results: []
@@ -15,12 +17,8 @@ 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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- - 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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@@ -47,9 +45,20 @@ 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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  ### 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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  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: []
 
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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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  - 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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