End of training
Browse files- README.md +4 -3
- all_results.json +11 -11
- eval_results.json +6 -6
- runs/Sep18_11-20-25_user/events.out.tfevents.1726639450.user.2653735.1 +3 -0
- train_results.json +6 -6
- trainer_state.json +0 -0
README.md
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@@ -3,6 +3,7 @@ library_name: transformers
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license: apache-2.0
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base_model: facebook/wav2vec2-base
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tags:
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- generated_from_trainer
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datasets:
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- fleurs
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name: Audio Classification
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type: audio-classification
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dataset:
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name: fleurs
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type: fleurs
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config: hi_in
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split: validation
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@@ -31,9 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
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# wav2vec2-base-lang-id
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the fleurs dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 1.0
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## Model description
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license: apache-2.0
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base_model: facebook/wav2vec2-base
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tags:
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- audio-classification
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- generated_from_trainer
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datasets:
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- fleurs
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name: Audio Classification
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type: audio-classification
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dataset:
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name: google/fleurs
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type: fleurs
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config: hi_in
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split: validation
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# wav2vec2-base-lang-id
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the google/fleurs dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0001
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- Accuracy: 1.0
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## Model description
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all_results.json
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{
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"epoch": 9.
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"eval_accuracy": 0
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"eval_loss":
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"eval_runtime":
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"eval_samples_per_second":
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"eval_steps_per_second":
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"total_flos":
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"train_loss": 0.
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"train_runtime":
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"train_samples_per_second":
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"train_steps_per_second":
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}
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{
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"epoch": 9.962264150943396,
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"eval_accuracy": 1.0,
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"eval_loss": 6.413459777832031e-05,
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"eval_runtime": 7.1664,
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"eval_samples_per_second": 33.35,
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"eval_steps_per_second": 33.35,
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"total_flos": 2.937323868434565e+18,
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"train_loss": 0.1621207386876146,
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"train_runtime": 757.3573,
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"train_samples_per_second": 27.992,
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"train_steps_per_second": 0.871
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}
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eval_results.json
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{
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"epoch": 9.
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"eval_accuracy": 0
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"eval_loss":
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"eval_runtime":
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"eval_samples_per_second":
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"eval_steps_per_second":
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}
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{
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"epoch": 9.962264150943396,
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"eval_accuracy": 1.0,
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"eval_loss": 6.413459777832031e-05,
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"eval_runtime": 7.1664,
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"eval_samples_per_second": 33.35,
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"eval_steps_per_second": 33.35
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}
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runs/Sep18_11-20-25_user/events.out.tfevents.1726639450.user.2653735.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:0e63de2b6f54d921d1156055bd7f99677795ff36712400d405a0f40db75c436d
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size 411
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train_results.json
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{
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"epoch": 9.
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"total_flos":
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"train_loss": 0.
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"train_runtime":
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"train_samples_per_second":
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"train_steps_per_second":
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}
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{
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"epoch": 9.962264150943396,
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"total_flos": 2.937323868434565e+18,
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"train_loss": 0.1621207386876146,
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"train_runtime": 757.3573,
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"train_samples_per_second": 27.992,
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"train_steps_per_second": 0.871
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}
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trainer_state.json
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