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thedavidhackett
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distilbert-organization-matching

Text Classification
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distilbert
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thedavidhackett commited on
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End of training

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Files changed (5) hide show
  1. README.md +14 -9
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. runs/Nov15_19-37-41_f4cac4e464cd/events.out.tfevents.1700077074.f4cac4e464cd.2594.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -17,7 +17,7 @@ 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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1296
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  - Accuracy: 0.9673
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  ## Model description
@@ -43,22 +43,27 @@ The following hyperparameters were used during training:
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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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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.2003 | 1.0 | 520 | 0.1229 | 0.9571 |
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- | 0.1189 | 2.0 | 1040 | 0.1006 | 0.9639 |
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- | 0.0793 | 3.0 | 1560 | 0.1006 | 0.9646 |
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- | 0.0645 | 4.0 | 2080 | 0.1381 | 0.9673 |
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- | 0.0474 | 5.0 | 2600 | 0.1296 | 0.9673 |
 
 
 
 
 
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  ### Framework versions
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- - Transformers 4.35.1
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  - Pytorch 2.1.0+cu118
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  - Datasets 2.14.7
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- - Tokenizers 0.14.1
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1927
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  - Accuracy: 0.9673
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  ## Model description
 
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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: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.1937 | 1.0 | 520 | 0.1080 | 0.9639 |
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+ | 0.1146 | 2.0 | 1040 | 0.1178 | 0.9652 |
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+ | 0.0755 | 3.0 | 1560 | 0.1006 | 0.9680 |
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+ | 0.0596 | 4.0 | 2080 | 0.1478 | 0.9673 |
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+ | 0.0432 | 5.0 | 2600 | 0.1439 | 0.9707 |
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+ | 0.0263 | 6.0 | 3120 | 0.1564 | 0.9693 |
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+ | 0.0242 | 7.0 | 3640 | 0.1945 | 0.9659 |
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+ | 0.0191 | 8.0 | 4160 | 0.1827 | 0.9673 |
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+ | 0.0118 | 9.0 | 4680 | 0.1863 | 0.9686 |
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+ | 0.0076 | 10.0 | 5200 | 0.1927 | 0.9673 |
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  ### Framework versions
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+ - Transformers 4.35.2
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  - Pytorch 2.1.0+cu118
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  - Datasets 2.14.7
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+ - Tokenizers 0.15.0
config.json CHANGED
@@ -28,6 +28,6 @@
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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": "4.35.1",
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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": "4.35.2",
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  "vocab_size": 30522
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  }
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