Add fine-tuned code completion model
Browse files- all_results.json +7 -0
- train_results.json +7 -0
- trainer_state.json +30 -0
all_results.json
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{
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"epoch": 1.0,
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"train_loss": 8.06908130645752,
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"train_runtime": 1.9114,
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"train_samples_per_second": 13.08,
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"train_steps_per_second": 1.046
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}
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train_results.json
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{
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"epoch": 1.0,
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"train_loss": 8.06908130645752,
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"train_runtime": 1.9114,
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"train_samples_per_second": 13.08,
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"train_steps_per_second": 1.046
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}
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trainer_state.json
ADDED
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 1.0,
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"eval_steps": 100,
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"global_step": 2,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 1.0,
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"step": 2,
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"total_flos": 10510947638400.0,
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"train_loss": 8.06908130645752,
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"train_runtime": 1.9114,
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"train_samples_per_second": 13.08,
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"train_steps_per_second": 1.046
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}
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],
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"logging_steps": 100,
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"max_steps": 2,
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"num_input_tokens_seen": 0,
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"num_train_epochs": 1,
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"save_steps": 500,
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"total_flos": 10510947638400.0,
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"train_batch_size": 48,
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"trial_name": null,
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"trial_params": null
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}
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