Model save
Browse files- README.md +5 -0
- all_results.json +12 -13
- eval_epoch_1_results.json +6 -6
- special_tokens_map.json +2 -1
- tokenizer_config.json +1 -0
- train_epoch_1_results.json +6 -6
- trainer_state.json +16 -21
README.md
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@@ -4,6 +4,8 @@ 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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model-index:
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- name: test
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results: []
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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 an unknown dataset.
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## Model description
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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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# 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 an unknown 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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## Model description
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all_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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"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": 0.5230333635625984,
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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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"perplexity": 14.250811606566634,
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"total_flos": 1695049253388288.0,
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"train_loss": 2.6765631017550615,
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"train_runtime": 106.623,
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"train_samples": 567,
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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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eval_epoch_1_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_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": 59.8639,
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"eval_samples_per_second": 85.611,
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"eval_steps_per_second": 10.708,
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"perplexity": 14.250811606566634
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}
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special_tokens_map.json
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<|end_of_text|>"
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}
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tokenizer_config.json
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"attention_mask"
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],
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"model_max_length": 131072,
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"tokenizer_class": "PreTrainedTokenizerFast"
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}
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"attention_mask"
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],
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"model_max_length": 131072,
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"pad_token": "<|end_of_text|>",
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"tokenizer_class": "PreTrainedTokenizerFast"
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}
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train_epoch_1_results.json
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{
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"epoch": 1.0,
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"total_flos":
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"train_loss": 2.
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"train_runtime":
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"train_samples":
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"train_steps_per_second":
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{
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"epoch": 1.0,
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"total_flos": 1695049253388288.0,
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"train_loss": 2.6765631017550615,
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"train_runtime": 106.623,
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"train_samples": 567,
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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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trainer_state.json
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"best_model_checkpoint": null,
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"epoch": 1.0,
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"eval_steps": 500,
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"global_step":
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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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"epoch": 0
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"epoch": 0.8771929824561403,
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"grad_norm": 17.75,
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"learning_rate": 1.2368421052631579e-07,
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"loss": 2.4372,
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"step": 1000
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"epoch": 1.0,
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"logging_steps": 500,
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"max_steps":
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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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"attributes": {}
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}
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"total_flos":
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"train_batch_size": 4,
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"trial_name": null,
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"trial_params": null
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"best_model_checkpoint": null,
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"epoch": 1.0,
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"eval_steps": 500,
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"global_step": 142,
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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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"eval_accuracy": 0.5230333635625984,
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"eval_loss": 2.656813859939575,
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"eval_runtime": 59.8708,
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"eval_samples_per_second": 85.601,
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"eval_steps_per_second": 10.706,
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"step": 142
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{
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"epoch": 1.0,
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"step": 142,
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"total_flos": 1695049253388288.0,
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"train_loss": 2.6765631017550615,
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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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"max_steps": 142,
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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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"attributes": {}
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}
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},
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"total_flos": 1695049253388288.0,
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"train_batch_size": 4,
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"trial_name": null,
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"trial_params": null
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