End of training
Browse files- README.md +2 -2
- adapter_model.safetensors +1 -1
- trainer_state.json +49 -0
README.md
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---
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base_model: meta-llama/Meta-Llama-3-8B
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library_name: peft
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license: llama3
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tags:
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@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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# chess-sft-lora-adapter
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B
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## Model description
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---
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base_model: meta-llama/Meta-Llama-3-8B
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library_name: peft
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license: llama3
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tags:
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# chess-sft-lora-adapter
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset.
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## Model description
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 4370592096
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version https://git-lfs.github.com/spec/v1
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oid sha256:e0d36d3b45bfb96a7cb74f926997aa7b3f96571a4540d46c5f1bcdd688dbc2a2
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size 4370592096
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trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 3.0,
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"eval_steps": 500,
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"global_step": 501,
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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": 2.9940119760479043,
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"grad_norm": 2.417518377304077,
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"learning_rate": 9.98003992015968e-08,
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"loss": 0.9995,
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"step": 500
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},
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{
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"epoch": 3.0,
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"step": 501,
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"total_flos": 2.0033559725080576e+16,
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"train_loss": 0.9991578065944527,
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"train_runtime": 874.8982,
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"train_samples_per_second": 2.287,
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"train_steps_per_second": 0.573
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}
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],
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"logging_steps": 500,
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"max_steps": 501,
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"num_input_tokens_seen": 0,
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"num_train_epochs": 3,
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"save_steps": 500,
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"stateful_callbacks": {
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"TrainerControl": {
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"args": {
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"should_epoch_stop": false,
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"should_evaluate": false,
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"should_log": false,
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"should_save": true,
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"should_training_stop": true
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},
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"attributes": {}
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}
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},
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"total_flos": 2.0033559725080576e+16,
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"train_batch_size": 1,
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"trial_name": null,
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"trial_params": null
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}
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