End of training
Browse files- README.md +14 -2
- all_results.json +10 -10
- eval_results.json +6 -6
- train_results.json +5 -5
- trainer_state.json +911 -14
README.md
CHANGED
@@ -3,11 +3,23 @@ license: apache-2.0
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base_model: openai/whisper-base
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: whisper-base-ckb
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-
results:
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---
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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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@@ -15,7 +27,7 @@ should probably proofread and complete it, then remove this comment. -->
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# whisper-base-ckb
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-
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on
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It achieves the following results on the evaluation set:
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- Loss: 0.0641
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- Wer: 0.1262
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base_model: openai/whisper-base
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tags:
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- generated_from_trainer
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+
datasets:
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+
- razhan/common_voice_ckb_16
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metrics:
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- wer
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model-index:
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- name: whisper-base-ckb
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: razhan/common_voice_ckb_16
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type: razhan/common_voice_ckb_16
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metrics:
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- name: Wer
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type: wer
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+
value: 0.12623194275685162
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---
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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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# whisper-base-ckb
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+
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the razhan/common_voice_ckb_16 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0641
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- Wer: 0.1262
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all_results.json
CHANGED
@@ -1,14 +1,14 @@
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{
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-
"epoch":
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-
"eval_loss": 0.
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-
"eval_runtime":
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"eval_samples": 4940,
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-
"eval_samples_per_second":
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"eval_steps_per_second": 0.
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"eval_wer": 0.
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"train_loss": 0.
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-
"train_runtime":
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"train_samples": 105929,
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"train_samples_per_second":
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"train_steps_per_second": 0.
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}
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{
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"epoch": 25.0,
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"eval_loss": 0.0640869140625,
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"eval_runtime": 115.2612,
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"eval_samples": 4940,
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"eval_samples_per_second": 42.859,
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"eval_steps_per_second": 0.061,
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"eval_wer": 0.12623194275685162,
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"train_loss": 0.0027616678631823995,
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"train_runtime": 6144.0313,
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"train_samples": 105929,
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"train_samples_per_second": 431.248,
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"train_steps_per_second": 0.374
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}
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eval_results.json
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{
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"epoch":
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"eval_loss": 0.
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"eval_runtime":
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"eval_samples": 4940,
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"eval_samples_per_second":
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"eval_steps_per_second": 0.
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"eval_wer": 0.
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}
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{
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"epoch": 25.0,
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"eval_loss": 0.0640869140625,
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"eval_runtime": 115.2612,
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"eval_samples": 4940,
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"eval_samples_per_second": 42.859,
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"eval_steps_per_second": 0.061,
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"eval_wer": 0.12623194275685162
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}
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train_results.json
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{
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-
"epoch":
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"train_loss": 0.
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"train_runtime":
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"train_samples": 105929,
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"train_samples_per_second":
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"train_steps_per_second": 0.
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}
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{
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"epoch": 25.0,
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"train_loss": 0.0027616678631823995,
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"train_runtime": 6144.0313,
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"train_samples": 105929,
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"train_samples_per_second": 431.248,
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"train_steps_per_second": 0.374
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}
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trainer_state.json
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{
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"best_metric": 0.
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"best_model_checkpoint": "./whisper-base-ckb/checkpoint-
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"epoch":
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"eval_steps": 100,
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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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"step": 1000
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"epoch": 10.
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}
|
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],
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"logging_steps": 10,
|
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"max_steps":
|
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"num_input_tokens_seen": 0,
|
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"num_train_epochs":
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"save_steps": 100,
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-
"total_flos":
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