ninagroot/GPT2-705M
Browse files
README.md
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This model is a fine-tuned version of [](https://huggingface.co/) 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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 300
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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### Framework versions
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.6046
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 300
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- num_epochs: 20
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 8.0336 | 1.0 | 3 | 7.3770 |
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| 6.2535 | 2.0 | 6 | 6.3128 |
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| 5.6213 | 3.0 | 9 | 5.6716 |
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| 4.8242 | 4.0 | 12 | 5.1521 |
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| 4.6266 | 5.0 | 15 | 4.9789 |
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| 4.4097 | 6.0 | 18 | 4.7306 |
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| 4.0358 | 7.0 | 21 | 4.5332 |
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| 4.0027 | 8.0 | 24 | 4.4014 |
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| 3.8638 | 9.0 | 27 | 4.1175 |
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| 3.5414 | 10.0 | 30 | 4.0355 |
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| 3.4701 | 11.0 | 33 | 3.8834 |
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| 3.4822 | 12.0 | 36 | 3.8336 |
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| 3.0602 | 13.0 | 39 | 3.7213 |
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| 3.1109 | 14.0 | 42 | 3.7379 |
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| 2.9087 | 15.0 | 45 | 3.7389 |
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| 2.7124 | 16.0 | 48 | 3.6220 |
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| 2.5867 | 17.0 | 51 | 3.7192 |
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| 2.4577 | 18.0 | 54 | 3.5953 |
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| 2.279 | 19.0 | 57 | 3.7648 |
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| 2.3218 | 20.0 | 60 | 3.6046 |
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### Framework versions
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model.safetensors
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runs/Apr29_16-13-26_gcn21.local.snellius.surf.nl/events.out.tfevents.1714400015.gcn21.local.snellius.surf.nl.467660.0
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training_args.bin
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