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cotysong113
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distilbert-base-uncased-distilled-clinc

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
Inference Endpoints
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cotysong113 commited on
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Training in progress, step 2862

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Files changed (5) hide show
  1. README.md +14 -14
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. tokenizer.json +1 -6
  5. training_args.bin +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ 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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- - Loss: 0.3426
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- - Accuracy: 0.9481
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  ## Model description
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@@ -50,21 +50,21 @@ 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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- | 3.8162 | 1.0 | 318 | 2.8321 | 0.7381 |
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- | 2.1655 | 2.0 | 636 | 1.4157 | 0.8658 |
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- | 1.0801 | 3.0 | 954 | 0.7461 | 0.9142 |
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- | 0.568 | 4.0 | 1272 | 0.4911 | 0.9319 |
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- | 0.3528 | 5.0 | 1590 | 0.3975 | 0.9397 |
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- | 0.2606 | 6.0 | 1908 | 0.3712 | 0.9403 |
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- | 0.2195 | 7.0 | 2226 | 0.3510 | 0.9471 |
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- | 0.1971 | 8.0 | 2544 | 0.3467 | 0.9468 |
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- | 0.1862 | 9.0 | 2862 | 0.3450 | 0.9468 |
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- | 0.181 | 10.0 | 3180 | 0.3426 | 0.9481 |
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  ### Framework versions
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- - Transformers 4.47.0
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- - Pytorch 2.5.1
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  - Datasets 3.2.0
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  - Tokenizers 0.21.0
 
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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: 0.3223
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+ - Accuracy: 0.9461
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 2.8424 | 1.0 | 318 | 2.0795 | 0.7271 |
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+ | 1.6103 | 2.0 | 636 | 1.0650 | 0.8577 |
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+ | 0.8466 | 3.0 | 954 | 0.6074 | 0.9135 |
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+ | 0.4999 | 4.0 | 1272 | 0.4376 | 0.9310 |
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+ | 0.3539 | 5.0 | 1590 | 0.3770 | 0.9397 |
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+ | 0.2899 | 6.0 | 1908 | 0.3515 | 0.9419 |
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+ | 0.2589 | 7.0 | 2226 | 0.3353 | 0.9448 |
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+ | 0.2418 | 8.0 | 2544 | 0.3276 | 0.9458 |
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+ | 0.2319 | 9.0 | 2862 | 0.3234 | 0.9458 |
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+ | 0.2284 | 10.0 | 3180 | 0.3223 | 0.9461 |
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  ### Framework versions
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+ - Transformers 4.47.1
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+ - Pytorch 2.5.1+cu124
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  - Datasets 3.2.0
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  - Tokenizers 0.21.0
config.json CHANGED
@@ -326,6 +326,6 @@
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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": "4.47.0",
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  "vocab_size": 30522
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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": "4.47.1",
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  "vocab_size": 30522
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  }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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tokenizer.json CHANGED
@@ -1,11 +1,6 @@
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  {
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  "version": "1.0",
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- "truncation": {
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- "direction": "Right",
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- "max_length": 512,
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- "strategy": "LongestFirst",
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- "stride": 0
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- },
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  "padding": null,
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  "added_tokens": [
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  {
 
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  "added_tokens": [
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training_args.bin CHANGED
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