End of training
Browse files- README.md +14 -2
- all_results.json +4 -3
- eval_results.json +7 -7
- 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: 2.6568
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- Accuracy: 0.5230
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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: 0.5230333635625984
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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: 2.6568
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- Accuracy: 0.5230
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all_results.json
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"epoch": 1.0,
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"eval_accuracy": 0.5230333635625984,
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"eval_loss": 2.656813859939575,
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"eval_runtime": 59.
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"
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"perplexity": 14.250811606566634,
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"total_flos": 1695049253388288.0,
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"train_loss": 2.6765631017550615,
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"epoch": 1.0,
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"eval_accuracy": 0.5230333635625984,
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"eval_loss": 2.656813859939575,
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"eval_runtime": 59.9412,
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"eval_samples": 5125,
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"eval_samples_per_second": 85.5,
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"eval_steps_per_second": 10.694,
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"perplexity": 14.250811606566634,
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"total_flos": 1695049253388288.0,
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"train_loss": 2.6765631017550615,
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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.
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"eval_loss": 2.
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"eval_runtime":
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"eval_samples":
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"eval_samples_per_second":
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"eval_steps_per_second": 10.
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"perplexity":
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}
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{
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"epoch": 1.0,
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"eval_accuracy": 0.5230333635625984,
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"eval_loss": 2.656813859939575,
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"eval_runtime": 59.9412,
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"eval_samples": 5125,
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"eval_samples_per_second": 85.5,
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"eval_steps_per_second": 10.694,
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"perplexity": 14.250811606566634
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}
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trainer_state.json
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"train_runtime": 106.623,
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"train_samples_per_second": 5.318,
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"train_steps_per_second": 1.332
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}
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],
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"logging_steps": 500,
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"train_runtime": 106.623,
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"train_samples_per_second": 5.318,
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"train_steps_per_second": 1.332
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},
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{
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"epoch": 1.0,
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"eval_accuracy": 0.5230333635625984,
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"eval_loss": 2.656813859939575,
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"eval_runtime": 59.8639,
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"eval_samples_per_second": 85.611,
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"eval_steps_per_second": 10.708,
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"step": 142
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}
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],
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"logging_steps": 500,
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