Model save
Browse files- README.md +2 -5
- all_results.json +15 -0
- eval_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +42 -0
- training_args.bin +1 -1
README.md
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mohitdeep-singh-doordash/whisper-finetuning/runs/8tgca58p)
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# ap-8nSWIs3nxWdyPntIhfBatc
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This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on
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## Model description
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.48.3
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mohitdeep-singh-doordash/whisper-finetuning/runs/8tgca58p)
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mohitdeep-singh-doordash/whisper-finetuning/runs/8tgca58p)
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# ap-8nSWIs3nxWdyPntIhfBatc
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This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on an unknown dataset.
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## Model description
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.48.3
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all_results.json
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{
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"epoch": 10.0,
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"eval_loss": 2.102076292037964,
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"eval_runtime": 4.2584,
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"eval_samples": 5,
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"eval_samples_per_second": 1.174,
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"eval_steps_per_second": 0.235,
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"eval_wer": 0.6158940397350994,
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"total_flos": 1.0615855104e+17,
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"train_loss": 0.059676581621170045,
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"train_runtime": 57.0097,
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"train_samples": 5,
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"train_samples_per_second": 0.877,
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"train_steps_per_second": 0.175
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}
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eval_results.json
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{
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"epoch": 10.0,
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"eval_loss": 2.102076292037964,
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"eval_runtime": 4.2584,
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"eval_samples": 5,
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"eval_samples_per_second": 1.174,
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"eval_steps_per_second": 0.235,
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"eval_wer": 0.6158940397350994
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}
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train_results.json
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{
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"epoch": 10.0,
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"total_flos": 1.0615855104e+17,
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"train_loss": 0.059676581621170045,
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"train_runtime": 57.0097,
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"train_samples": 5,
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"train_samples_per_second": 0.877,
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"train_steps_per_second": 0.175
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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": 10.0,
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"eval_steps": 250,
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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": 10.0,
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"step": 10,
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"total_flos": 1.0615855104e+17,
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"train_loss": 0.059676581621170045,
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"train_runtime": 57.0097,
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"train_samples_per_second": 0.877,
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"train_steps_per_second": 0.175
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}
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],
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"logging_steps": 500,
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"max_steps": 10,
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"num_input_tokens_seen": 0,
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"num_train_epochs": 10,
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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": 1.0615855104e+17,
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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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training_args.bin
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size 5496
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