JamesMcMill
commited on
End of training
Browse files- README.md +6 -6
- config.json +1 -1
- model.safetensors +1 -1
- runs/Mar19_19-36-23_LY-2023-JM/events.out.tfevents.1710876984.LY-2023-JM.8404.0 +3 -0
- runs/Mar19_19-48-06_LY-2023-JM/events.out.tfevents.1710877687.LY-2023-JM.26672.0 +3 -0
- runs/Mar19_19-58-46_LY-2023-JM/events.out.tfevents.1710878326.LY-2023-JM.8656.0 +3 -0
- training_args.bin +2 -2
README.md
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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:
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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| No log | 1.0 |
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| No log | 2.0 |
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| No log | 3.0 |
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### Framework versions
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- Transformers 4.38.
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- Pytorch 2.2.1+cpu
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- Datasets 2.
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- Tokenizers 0.15.2
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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: 4.8910
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 13 | 5.2553 |
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| No log | 2.0 | 26 | 5.0031 |
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| No log | 3.0 | 39 | 4.8910 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.2.1+cpu
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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config.json
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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": "4.38.
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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": "4.38.2",
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"vocab_size": 30522
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}
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model.safetensors
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runs/Mar19_19-36-23_LY-2023-JM/events.out.tfevents.1710876984.LY-2023-JM.8404.0
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training_args.bin
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