End of training
Browse files- README.md +2 -2
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +9 -0
- trainer_state.json +0 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
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# train_math_qa_101112_1760638065
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Num Input Tokens Seen: 77914328
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## Model description
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# train_math_qa_101112_1760638065
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the math_qa dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0945
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- Num Input Tokens Seen: 77914328
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## Model description
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all_results.json
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{
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"epoch": 20.0,
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"eval_loss": 1.094519853591919,
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"eval_runtime": 45.4849,
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"eval_samples_per_second": 65.604,
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"eval_steps_per_second": 16.401,
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"num_input_tokens_seen": 77914328,
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"total_flos": 3.508571438521123e+18,
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"train_loss": 1.0935145752146587,
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"train_runtime": 26420.3063,
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"train_samples_per_second": 20.328,
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"train_steps_per_second": 5.082
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}
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eval_results.json
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{
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"epoch": 20.0,
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"eval_loss": 1.094519853591919,
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"eval_runtime": 45.4849,
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"eval_samples_per_second": 65.604,
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"eval_steps_per_second": 16.401,
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"num_input_tokens_seen": 77914328
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}
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train_results.json
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{
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"epoch": 20.0,
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"num_input_tokens_seen": 77914328,
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"total_flos": 3.508571438521123e+18,
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"train_loss": 1.0935145752146587,
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"train_runtime": 26420.3063,
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"train_samples_per_second": 20.328,
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"train_steps_per_second": 5.082
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}
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trainer_state.json
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The diff for this file is too large to render.
See raw diff
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training_eval_loss.png
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training_loss.png
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