Instructions to use kosamit/ccbeta-base-clone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kosamit/ccbeta-base-clone with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kosamit/ccbeta-base-clone")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kosamit/ccbeta-base-clone") model = AutoModelForSpeechSeq2Seq.from_pretrained("kosamit/ccbeta-base-clone", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from kosamit/ccbeta-base-clone: direct link, hf CLI and curl.
- Browser
- Download file 2.05 kB
-
https://huggingface.co/kosamit/ccbeta-base-clone/resolve/main/trainer_state.json
- Command line
-
hf download hf://kosamit/ccbeta-base-clone/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/kosamit/ccbeta-base-clone/resolve/main/trainer_state.json
2.05 kB
| { | |
| "best_metric": 1.1350098848342896, | |
| "best_model_checkpoint": "ckpt_base/checkpoint-1308", | |
| "epoch": 6.0, | |
| "global_step": 1308, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
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| "epoch": 1.0, | |
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| "eval_steps_per_second": 1.383, | |
| "eval_wer": 458.45417429255247, | |
| "step": 218 | |
| }, | |
| { | |
| "epoch": 2.0, | |
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| "eval_samples_per_second": 3.954, | |
| "eval_steps_per_second": 1.977, | |
| "eval_wer": 131.4655779248205, | |
| "step": 436 | |
| }, | |
| { | |
| "epoch": 2.29, | |
| "learning_rate": 1.2450000000000001e-05, | |
| "loss": 1.7076, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 3.0, | |
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| "eval_samples_per_second": 4.916, | |
| "eval_steps_per_second": 2.458, | |
| "eval_wer": 130.46600028157116, | |
| "step": 654 | |
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| "epoch": 4.0, | |
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| "eval_steps_per_second": 1.021, | |
| "eval_wer": 117.52780515275236, | |
| "step": 872 | |
| }, | |
| { | |
| "epoch": 4.59, | |
| "learning_rate": 2.495e-05, | |
| "loss": 1.136, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 5.0, | |
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| }, | |
| { | |
| "epoch": 6.0, | |
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| "eval_wer": 128.88920174574125, | |
| "step": 1308 | |
| } | |
| ], | |
| "max_steps": 4360, | |
| "num_train_epochs": 20, | |
| "total_flos": 2.704661904109863e+18, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |