End of training
Browse files- README.md +14 -2
- all_results.json +4 -3
- eval_results.json +10 -0
- trainer_state.json +9 -0
README.md
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@@ -4,11 +4,23 @@ license: llama3.2
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base_model: meta-llama/Llama-3.2-1B
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: test
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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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@@ -16,7 +28,7 @@ should probably proofread and complete it, then remove this comment. -->
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# test
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This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on
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It achieves the following results on the evaluation set:
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- Loss: 2.4341
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- Accuracy: 0.5620
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base_model: meta-llama/Llama-3.2-1B
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tags:
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- generated_from_trainer
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datasets:
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- LabHC/bias_in_bios
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metrics:
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- accuracy
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model-index:
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- name: test
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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: LabHC/bias_in_bios
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type: LabHC/bias_in_bios
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.5619722863264766
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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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# test
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This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on the LabHC/bias_in_bios dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.4341
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- Accuracy: 0.5620
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all_results.json
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"epoch": 1.0,
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"eval_accuracy": 0.5619722863264766,
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"eval_loss": 2.4340596199035645,
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"eval_runtime": 13.
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"
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"perplexity": 11.405088550670825,
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"total_flos": 1.3626163133939712e+16,
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"train_loss": 2.4788927044784814,
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"epoch": 1.0,
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"eval_accuracy": 0.5619722863264766,
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"eval_loss": 2.4340596199035645,
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"eval_runtime": 13.228,
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"eval_samples": 1138,
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"eval_samples_per_second": 86.03,
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"eval_steps_per_second": 10.81,
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"perplexity": 11.405088550670825,
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"total_flos": 1.3626163133939712e+16,
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"train_loss": 2.4788927044784814,
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eval_results.json
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{
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"epoch": 1.0,
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"eval_accuracy": 0.5619722863264766,
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"eval_loss": 2.4340596199035645,
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"eval_runtime": 13.228,
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"eval_samples": 1138,
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"eval_samples_per_second": 86.03,
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"eval_steps_per_second": 10.81,
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"perplexity": 11.405088550670825
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}
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trainer_state.json
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"train_runtime": 196.8793,
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"train_samples_per_second": 23.151,
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"train_steps_per_second": 5.79
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}
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],
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"logging_steps": 500,
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"train_runtime": 196.8793,
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"train_samples_per_second": 23.151,
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"train_steps_per_second": 5.79
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},
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{
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"epoch": 1.0,
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"eval_accuracy": 0.5619722863264766,
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"eval_loss": 2.4340596199035645,
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"eval_runtime": 13.1565,
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"eval_samples_per_second": 86.497,
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"eval_steps_per_second": 10.869,
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"step": 1140
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}
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],
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"logging_steps": 500,
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