Checkpoint after epoch 1
Browse files- README.md +5 -0
- all_results.json +10 -12
- eval_epoch_1_results.json +6 -6
- special_tokens_map.json +2 -1
- tokenizer.json +2 -2
- tokenizer_config.json +1 -0
- train_epoch_1_results.json +4 -5
- trainer_state.json +9 -18
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: 0.5231
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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": 59.
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"
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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.
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"train_runtime":
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"
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"
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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": 0.5230967495584936,
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"eval_loss": 2.656780958175659,
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"eval_runtime": 59.9656,
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"eval_samples_per_second": 85.466,
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"eval_steps_per_second": 10.689,
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"perplexity": 14.250342737440896,
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"total_flos": 1695049253388288.0,
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"train_loss": 2.676516035912742,
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"train_runtime": 105.7579,
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"train_samples_per_second": 5.361,
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"train_steps_per_second": 1.343
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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": 59.
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"eval_samples_per_second": 85.
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"eval_steps_per_second": 10.
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"perplexity": 14.
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}
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{
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"epoch": 1.0,
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"eval_accuracy": 0.5230967495584936,
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"eval_loss": 2.656780958175659,
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"eval_runtime": 59.9656,
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"eval_samples_per_second": 85.466,
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"eval_steps_per_second": 10.689,
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"perplexity": 14.250342737440896
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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.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:8455cd05329f9cb9895e200605934b714e7fc55873b9969c77d1c3c01ccc60e0
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size 17210188
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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": 1695049253388288.0,
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"train_loss": 2.
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"train_runtime":
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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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"total_flos": 1695049253388288.0,
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"train_loss": 2.676516035912742,
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"train_runtime": 105.7579,
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"train_samples_per_second": 5.361,
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"train_steps_per_second": 1.343
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}
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trainer_state.json
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"log_history": [
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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": 59.
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"eval_samples_per_second": 85.
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"eval_steps_per_second": 10.
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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.
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"train_runtime":
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"train_samples_per_second": 5.
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"train_steps_per_second": 1.
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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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"logging_steps": 500,
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"log_history": [
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{
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"epoch": 1.0,
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"eval_accuracy": 0.5230967495584936,
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"eval_loss": 2.656780958175659,
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"eval_runtime": 59.6737,
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"eval_samples_per_second": 85.884,
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"eval_steps_per_second": 10.742,
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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": 2.676516035912742,
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"train_runtime": 105.7579,
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"train_samples_per_second": 5.361,
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"train_steps_per_second": 1.343
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}
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"logging_steps": 500,
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