ninagroot/GPT2-705Mtest
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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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps:
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- total_train_batch_size:
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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: 100
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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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| No log |
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| No log |
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| 7.2479 | 4.0 | 28 | 6.1304 |
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| 7.2479 | 5.0 | 35 | 5.6312 |
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| 4.9652 | 6.0 | 42 | 5.3544 |
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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: 8.4951
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## Model description
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 128
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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: 100
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- num_epochs: 4
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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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| No log | 0.57 | 1 | 9.7287 |
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| No log | 1.71 | 3 | 8.6584 |
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| No log | 2.29 | 4 | 8.4951 |
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### Framework versions
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model.safetensors
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runs/Apr16_10-46-06_gcn42.local.snellius.surf.nl/events.out.tfevents.1713257174.gcn42.local.snellius.surf.nl.873404.0
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training_args.bin
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