End of training
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- all_results.json +6 -5
- eval_results.json +6 -5
- trainer_state.json +2 -2
README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: mistral-2L-tiny
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results:
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mistral-2L-tiny
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This model is a fine-tuned version of [](https://huggingface.co/) on
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## Model description
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---
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tags:
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- generated_from_trainer
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datasets:
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- roneneldan/TinyStories
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metrics:
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- accuracy
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model-index:
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- name: mistral-2L-tiny
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results:
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- task:
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name: Causal Language Modeling
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type: text-generation
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dataset:
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name: roneneldan/TinyStories
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type: roneneldan/TinyStories
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.6174228881132772
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mistral-2L-tiny
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This model is a fine-tuned version of [](https://huggingface.co/) on the roneneldan/TinyStories dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4866
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- Accuracy: 0.6174
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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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"
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"eval_samples": 19348,
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"eval_samples_per_second":
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"eval_steps_per_second":
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"perplexity":
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}
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{
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"epoch": 3.0,
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"eval_accuracy": 0.6174228881132772,
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"eval_loss": 1.4865760803222656,
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"eval_runtime": 25.5787,
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"eval_samples": 19348,
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"eval_samples_per_second": 756.411,
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"eval_steps_per_second": 94.571,
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"perplexity": 4.421929239222526
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}
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eval_results.json
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{
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"epoch": 3.0,
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"
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"eval_samples": 19348,
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"eval_samples_per_second":
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"eval_steps_per_second":
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"perplexity":
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}
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{
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"epoch": 3.0,
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"eval_accuracy": 0.6174228881132772,
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"eval_loss": 1.4865760803222656,
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"eval_runtime": 25.5787,
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"eval_samples": 19348,
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"eval_samples_per_second": 756.411,
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"eval_steps_per_second": 94.571,
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"perplexity": 4.421929239222526
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}
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trainer_state.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 14524352
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