End of training
Browse files- README.md +14 -2
- all_results.json +10 -10
- eval_results.json +6 -6
- train_results.json +4 -4
- trainer_state.json +0 -0
README.md
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library_name: transformers
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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: opt-babylm2-20-epochs_seed-42_3e-4
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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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@@ -14,7 +26,7 @@ should probably proofread and complete it, then remove this comment. -->
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# opt-babylm2-20-epochs_seed-42_3e-4
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This model was trained from scratch on
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It achieves the following results on the evaluation set:
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- Loss: 2.4950
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- Accuracy: 0.5193
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library_name: transformers
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tags:
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- generated_from_trainer
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datasets:
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- kanishka/babylm2-sentence-tokenized
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metrics:
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- accuracy
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model-index:
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- name: opt-babylm2-20-epochs_seed-42_3e-4
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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: kanishka/babylm2-sentence-tokenized
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type: kanishka/babylm2-sentence-tokenized
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.5192642005255711
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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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# opt-babylm2-20-epochs_seed-42_3e-4
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This model was trained from scratch on the kanishka/babylm2-sentence-tokenized dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.4950
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- Accuracy: 0.5193
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all_results.json
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{
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"epoch": 20.0,
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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": 70325,
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"eval_samples_per_second":
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"eval_steps_per_second":
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"perplexity": 12.
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"total_flos": 1.7890534785024e+18,
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"train_loss": 2.
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"train_runtime":
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"train_samples": 684695,
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"train_samples_per_second":
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"train_steps_per_second":
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}
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{
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"epoch": 20.0,
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"eval_accuracy": 0.5192642005255711,
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"eval_loss": 2.495042085647583,
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"eval_runtime": 139.669,
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"eval_samples": 70325,
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"eval_samples_per_second": 503.512,
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"eval_steps_per_second": 7.869,
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"perplexity": 12.12224368032957,
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"total_flos": 1.7890534785024e+18,
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"train_loss": 2.267101509945356,
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"train_runtime": 54453.6513,
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"train_samples": 684695,
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"train_samples_per_second": 251.478,
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"train_steps_per_second": 7.859
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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_accuracy": 0.
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"eval_loss": 2.
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"eval_runtime":
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"eval_samples": 70325,
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"eval_samples_per_second":
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"eval_steps_per_second":
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"perplexity": 12.
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}
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{
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"epoch": 20.0,
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"eval_accuracy": 0.5192642005255711,
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"eval_loss": 2.495042085647583,
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"eval_runtime": 139.669,
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"eval_samples": 70325,
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"eval_samples_per_second": 503.512,
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"eval_steps_per_second": 7.869,
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"perplexity": 12.12224368032957
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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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"total_flos": 1.7890534785024e+18,
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"train_loss": 2.
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"train_runtime":
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"train_samples": 684695,
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"train_samples_per_second":
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"train_steps_per_second":
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}
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{
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"epoch": 20.0,
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"total_flos": 1.7890534785024e+18,
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"train_loss": 2.267101509945356,
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"train_runtime": 54453.6513,
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"train_samples": 684695,
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"train_samples_per_second": 251.478,
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"train_steps_per_second": 7.859
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}
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trainer_state.json
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