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cotysong113
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distilbert-base-uncased-finetuned-clinc

Text Classification
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distilbert
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Training completed!

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Files changed (14) hide show
  1. README.md +9 -9
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. runs/Oct29_01-00-12_p16/events.out.tfevents.1730135007.p16.91548.0 +3 -0
  5. runs/Oct29_01-00-12_p16/events.out.tfevents.1730135049.p16.91548.1 +3 -0
  6. runs/Oct29_01-05-51_p16/events.out.tfevents.1730135170.p16.91548.2 +3 -0
  7. runs/Oct29_01-05-51_p16/events.out.tfevents.1730135216.p16.91548.3 +3 -0
  8. runs/Oct29_01-05-51_p16/events.out.tfevents.1730135267.p16.91548.4 +3 -0
  9. runs/Oct29_01-12-39_p16/events.out.tfevents.1730135696.p16.91548.5 +3 -0
  10. runs/Oct29_01-17-24_p16/events.out.tfevents.1730135854.p16.91548.6 +3 -0
  11. runs/Oct29_01-22-53_p16/events.out.tfevents.1730136201.p16.180484.0 +3 -0
  12. runs/Oct29_01-25-02_p16/events.out.tfevents.1730136314.p16.180484.1 +3 -0
  13. tokenizer.json +1 -6
  14. training_args.bin +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ 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: 0.7976
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  - Accuracy: 0.9152
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  ## Model description
@@ -42,7 +42,7 @@ The following hyperparameters were used during training:
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  - train_batch_size: 48
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  - eval_batch_size: 48
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  - seed: 42
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- - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - num_epochs: 5
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@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 4.3006 | 1.0 | 318 | 3.2970 | 0.7323 |
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- | 2.6435 | 2.0 | 636 | 1.8926 | 0.8484 |
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- | 1.57 | 3.0 | 954 | 1.1789 | 0.8877 |
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- | 1.0348 | 4.0 | 1272 | 0.8841 | 0.9071 |
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- | 0.8186 | 5.0 | 1590 | 0.7976 | 0.9152 |
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  ### Framework versions
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- - Transformers 4.45.2
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  - Pytorch 2.5.0
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- - Datasets 3.0.1
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  - Tokenizers 0.20.1
 
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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: 1.0552
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  - Accuracy: 0.9152
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  ## Model description
 
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  - train_batch_size: 48
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  - eval_batch_size: 48
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  - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - num_epochs: 5
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 6.1306 | 1.0 | 318 | 4.3729 | 0.7 |
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+ | 3.4791 | 2.0 | 636 | 2.2991 | 0.8358 |
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+ | 1.9597 | 3.0 | 954 | 1.4270 | 0.8858 |
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+ | 1.3145 | 4.0 | 1272 | 1.1323 | 0.9094 |
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+ | 1.0832 | 5.0 | 1590 | 1.0552 | 0.9152 |
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  ### Framework versions
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+ - Transformers 4.46.0
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  - Pytorch 2.5.0
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+ - Datasets 3.0.2
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  - Tokenizers 0.20.1
config.json CHANGED
@@ -326,6 +326,6 @@
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  "sinusoidal_pos_embds": false,
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- "transformers_version": "4.45.2",
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  }
 
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  "sinusoidal_pos_embds": false,
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  "tie_weights_": true,
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  "torch_dtype": "float32",
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+ "transformers_version": "4.46.0",
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  "vocab_size": 30522
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