End of training
Browse files- README.md +3 -1
- all_results.json +7 -0
- train_results.json +7 -0
- trainer_state.json +0 -0
README.md
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---
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base_model: qnguyen3/Mixtral-4x400M
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tags:
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- generated_from_trainer
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model-index:
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- name: mixtral-4x-400M-pt
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# mixtral-4x-400M-pt
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This model is a fine-tuned version of [qnguyen3/Mixtral-4x400M](https://huggingface.co/qnguyen3/Mixtral-4x400M) on the
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## Model description
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---
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license: other
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base_model: qnguyen3/Mixtral-4x400M
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tags:
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- llama-factory
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- generated_from_trainer
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model-index:
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- name: mixtral-4x-400M-pt
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# mixtral-4x-400M-pt
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This model is a fine-tuned version of [qnguyen3/Mixtral-4x400M](https://huggingface.co/qnguyen3/Mixtral-4x400M) on the thevault_function_xsmall, the redpajama_v2_small, the tiny_strange_textbooks, the tiny_textbooks, the code_textbook, the the_stack_smol_xl_cleaned, the refinedweb_1m_medium, the minipile, the goodwiki, the wikipedia_vi, the mathpile_arxiv_medium, the mathpile_stackexchange, the mathpile_proofpile, the mathpile_wikipedia, the thevault_class_xsmall, the tiny_stories_envi, the pretrain_instruct_1, the pretrain_instruct_2 and the pretrain_instruct_code datasets.
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## Model description
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all_results.json
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{
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"epoch": 3.0,
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"train_loss": 1.6263817286927247,
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"train_runtime": 649257.4466,
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"train_samples_per_second": 60.135,
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"train_steps_per_second": 0.059
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}
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train_results.json
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{
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"epoch": 3.0,
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"train_loss": 1.6263817286927247,
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"train_runtime": 649257.4466,
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"train_samples_per_second": 60.135,
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"train_steps_per_second": 0.059
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}
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trainer_state.json
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