Commit
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b833e8c
1
Parent(s):
adf7e5f
Model save
Browse files- README.md +2 -2
- all_results.json +15 -0
- eval_results.json +10 -0
- train_results.json +8 -0
- trainer_state.json +60 -0
README.md
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Accuracy: 0.
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## Model description
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6915
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- Accuracy: 0.6749
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## Model description
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all_results.json
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{
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"epoch": 0.0,
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"eval_accuracy": 0.6748837865685497,
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"eval_loss": 1.6915348768234253,
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"eval_runtime": 75.3619,
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"eval_samples": 15520,
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"eval_samples_per_second": 205.94,
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"eval_steps_per_second": 25.742,
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"perplexity": 5.427805327461157,
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"train_loss": 1.9789411544799804,
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"train_runtime": 156.255,
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"train_samples": 124120,
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"train_samples_per_second": 1.024,
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"train_steps_per_second": 0.064
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}
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eval_results.json
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{
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"epoch": 0.0,
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"eval_accuracy": 0.6748837865685497,
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"eval_loss": 1.6915348768234253,
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"eval_runtime": 75.3619,
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"eval_samples": 15520,
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"eval_samples_per_second": 205.94,
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"eval_steps_per_second": 25.742,
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"perplexity": 5.427805327461157
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}
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train_results.json
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{
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"epoch": 0.0,
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"train_loss": 1.9789411544799804,
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"train_runtime": 156.255,
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"train_samples": 124120,
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"train_samples_per_second": 1.024,
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"train_steps_per_second": 0.064
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}
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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": 0.0012890750886239124,
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"eval_steps": 5,
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"global_step": 10,
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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": 0.0,
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"learning_rate": 5e-05,
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"loss": 2.0686,
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"step": 5
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},
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{
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"epoch": 0.0,
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"eval_accuracy": 0.6686630088781412,
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"eval_loss": 1.7577065229415894,
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"eval_runtime": 76.2786,
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"eval_samples_per_second": 203.465,
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"eval_steps_per_second": 25.433,
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"step": 5
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},
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{
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"epoch": 0.0,
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"learning_rate": 0.0,
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"loss": 1.8893,
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"step": 10
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},
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{
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"epoch": 0.0,
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"eval_accuracy": 0.6742729158223068,
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"eval_loss": 1.6961551904678345,
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"eval_runtime": 76.8494,
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"eval_samples_per_second": 201.953,
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"eval_steps_per_second": 25.244,
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"step": 10
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},
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{
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"epoch": 0.0,
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"step": 10,
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"total_flos": 42112770048000.0,
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"train_loss": 1.9789411544799804,
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"train_runtime": 156.255,
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"train_samples_per_second": 1.024,
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"train_steps_per_second": 0.064
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}
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],
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"logging_steps": 5,
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"max_steps": 10,
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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": 42112770048000.0,
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"train_batch_size": 8,
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"trial_name": null,
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"trial_params": null
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}
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