End of training
Browse files- README.md +18 -4
- all_results.json +13 -0
- eval_results.json +8 -0
- log_history.json +1928 -0
- train_results.json +8 -0
- trainer_state.json +1959 -0
README.md
CHANGED
@@ -1,6 +1,7 @@
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---
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library_name: transformers
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tags:
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- generated_from_trainer
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datasets:
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- voxceleb
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- accuracy
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model-index:
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- name: aam-len3-bs256-lr1e-3
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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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# aam-len3-bs256-lr1e-3
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-
This model is a fine-tuned version of [](https://huggingface.co/) on the voxceleb dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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-
- Accuracy: 0.
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## Model description
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---
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library_name: transformers
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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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- voxceleb
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- accuracy
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model-index:
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- name: aam-len3-bs256-lr1e-3
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results:
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- task:
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name: Audio Classification
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type: audio-classification
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dataset:
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name: confit/voxceleb
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type: voxceleb
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config: verification
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split: train
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args: verification
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9616548940464178
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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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# aam-len3-bs256-lr1e-3
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+
This model is a fine-tuned version of [](https://huggingface.co/) on the confit/voxceleb dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.6434
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- Accuracy: 0.9617
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## Model description
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all_results.json
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{
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"epoch": 10.0,
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"eval_accuracy": 0.9616548940464178,
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"eval_loss": 0.6434142589569092,
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"eval_runtime": 88.549,
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"eval_samples_per_second": 167.873,
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"eval_steps_per_second": 167.873,
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"total_flos": 8.1484088684544e+18,
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"train_loss": 1.9844060945237343,
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"train_runtime": 19376.6921,
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"train_samples_per_second": 69.04,
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"train_steps_per_second": 0.27
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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_accuracy": 0.9616548940464178,
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"eval_loss": 0.6434142589569092,
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"eval_runtime": 88.549,
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"eval_samples_per_second": 167.873,
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"eval_steps_per_second": 167.873
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}
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log_history.json
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