MHGanainy/gpt2-xl-lora-ecthr-random-imbalanced-uniform-cluster-8-id-4
Browse files- README.md +2 -0
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +420 -0
README.md
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@@ -15,6 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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# gpt2-xl-lora-ecthr-random-imbalanced-uniform-cluster-8-id-4
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This model is a fine-tuned version of [openai-community/gpt2-xl](https://huggingface.co/openai-community/gpt2-xl) on an unknown dataset.
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## Model description
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# gpt2-xl-lora-ecthr-random-imbalanced-uniform-cluster-8-id-4
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This model is a fine-tuned version of [openai-community/gpt2-xl](https://huggingface.co/openai-community/gpt2-xl) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9916
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## Model description
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all_results.json
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{
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"epoch": 1.0,
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"eval_loss": 1.9916431903839111,
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"eval_runtime": 53.7243,
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"eval_samples_per_second": 22.299,
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"eval_steps_per_second": 2.792,
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"perplexity": 7.327564458696297,
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"total_flos": 9.859643179008e+16,
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"train_loss": 2.0999000745935756,
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"train_runtime": 1429.8037,
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"train_samples_per_second": 7.572,
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"train_steps_per_second": 3.786
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}
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eval_results.json
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{
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"epoch": 1.0,
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"eval_loss": 1.9916431903839111,
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"eval_runtime": 53.7243,
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"eval_samples_per_second": 22.299,
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"eval_steps_per_second": 2.792,
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"perplexity": 7.327564458696297
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}
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train_results.json
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{
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"epoch": 1.0,
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"total_flos": 9.859643179008e+16,
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"train_loss": 2.0999000745935756,
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"train_runtime": 1429.8037,
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"train_samples_per_second": 7.572,
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"train_steps_per_second": 3.786
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}
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trainer_state.json
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