End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/wav2vec2-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: wav2vec2transformerEMR3
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# wav2vec2transformerEMR3
+
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6589
+- Accuracy: 0.7916
+- Precision: 0.7918
+- Recall: 0.7916
+- F1: 0.7896
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 1.4706        | 1.6420  | 500  | 1.4207          | 0.5409   | 0.5559    | 0.5409 | 0.5180 |
+| 0.953         | 3.2841  | 1000 | 0.9292          | 0.7275   | 0.7438    | 0.7275 | 0.7233 |
+| 0.7575        | 4.9261  | 1500 | 0.7618          | 0.7616   | 0.7686    | 0.7616 | 0.7610 |
+| 0.6084        | 6.5681  | 2000 | 0.7485          | 0.7559   | 0.7658    | 0.7559 | 0.7524 |
+| 0.5221        | 8.2102  | 2500 | 0.6990          | 0.7711   | 0.7767    | 0.7711 | 0.7691 |
+| 0.431         | 9.8522  | 3000 | 0.6967          | 0.7752   | 0.7796    | 0.7752 | 0.7719 |
+| 0.3814        | 11.4943 | 3500 | 0.6523          | 0.7867   | 0.7875    | 0.7867 | 0.7856 |
+| 0.3461        | 13.1363 | 4000 | 0.6589          | 0.7916   | 0.7918    | 0.7916 | 0.7896 |
+| 0.3405        | 14.7783 | 4500 | 0.6703          | 0.7867   | 0.7878    | 0.7867 | 0.7847 |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
+- Tokenizers 0.20.3

config.json

@@ -7,7 +7,7 @@
   "add_adapter": false,
   "apply_spec_augment": true,
   "architectures": [
-    "Wav2Vec2Model"
+    "Wav2Vec2ForSequenceClassification"
   ],
   "attention_dropout": 0.1,
   "bos_token_id": 1,

model.safetensors

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+oid sha256:a97f46672eb03a8603484715488a46395e67646d47af4ede6c81ade215bb7d62
+size 378307508

training_args.bin

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