MHGanainy/gpt2-xl-lora-ecthr-random-imbalanced-uniform-cluster-8-id-5
Browse files- README.md +2 -0
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +490 -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-5
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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-5
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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: 1.9216
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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": 1.9216065406799316,
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"eval_runtime": 115.3487,
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"eval_samples_per_second": 10.438,
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"eval_steps_per_second": 1.309,
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"perplexity": 6.831925423618136,
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"total_flos": 1.176672731136e+17,
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"train_loss": 2.077694829698687,
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"train_runtime": 1810.567,
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"train_samples_per_second": 7.136,
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"train_steps_per_second": 3.568
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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": 1.9216065406799316,
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"eval_runtime": 115.3487,
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"eval_samples_per_second": 10.438,
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"eval_steps_per_second": 1.309,
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"perplexity": 6.831925423618136
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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": 1.176672731136e+17,
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"train_loss": 2.077694829698687,
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"train_runtime": 1810.567,
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"train_samples_per_second": 7.136,
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"train_steps_per_second": 3.568
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}
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trainer_state.json
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