End of training
Browse files- README.md +71 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: facebook/wav2vec2-base-960h
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tags:
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- generated_from_trainer
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datasets:
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- audiofolder
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model-index:
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- name: wav2vec2-base-960h_SER_merged_dataset
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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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should probably proofread and complete it, then remove this comment. -->
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# wav2vec2-base-960h_SER_merged_dataset
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This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the audiofolder dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.7940
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- eval_accuracy: 0.7480
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- eval_weighted_f1: 0.7438
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- eval_micro_f1: 0.7480
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- eval_macro_f1: 0.7559
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- eval_weighted_recall: 0.7480
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- eval_micro_recall: 0.7480
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- eval_macro_recall: 0.7622
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- eval_weighted_precision: 0.7518
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- eval_micro_precision: 0.7480
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- eval_macro_precision: 0.7609
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- eval_runtime: 82.1913
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- eval_samples_per_second: 29.602
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- eval_steps_per_second: 0.937
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- epoch: 14.0
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- step: 1078
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 15
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### Framework versions
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- Transformers 4.47.0
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- Pytorch 2.5.1+cu121
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- Datasets 3.3.1
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- Tokenizers 0.21.0
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 378307508
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version https://git-lfs.github.com/spec/v1
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oid sha256:4cfcd88d5830304a06b2b18e1cb3410c07862999b856bbefd0f9e847c693bca8
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size 378307508
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