Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/wav2vec2-base
+tags:
+- generated_from_trainer
+datasets:
+- audiofolder
+metrics:
+- f1
+- precision
+- recall
+model-index:
+- name: my_awesome_mind_model
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: audiofolder
+      type: audiofolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: F1
+      type: f1
+      value: 0.5864661654135338
+    - name: Precision
+      type: precision
+      value: 0.42391304347826086
+    - name: Recall
+      type: recall
+      value: 0.9512195121951219
+---
+
+<!-- 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. -->
+
+# my_awesome_mind_model
+
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the audiofolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9514
+- F1: 0.5865
+- Precision: 0.4239
+- Recall: 0.9512
+
+## 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: 3e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | F1     | Precision | Recall |
+|:-------------:|:------:|:----:|:---------------:|:------:|:---------:|:------:|
+| No log        | 0.5714 | 1    | 1.0873          | 0.0    | 0.0       | 0.0    |
+| No log        | 1.7143 | 3    | 1.0299          | 0.1111 | 0.2308    | 0.0732 |
+| No log        | 2.8571 | 5    | 0.9925          | 0.3736 | 0.34      | 0.4146 |
+| No log        | 4.0    | 7    | 0.9678          | 0.5397 | 0.4       | 0.8293 |
+| No log        | 4.5714 | 8    | 0.9594          | 0.5538 | 0.4045    | 0.8780 |
+| 1.006         | 5.7143 | 10   | 0.9514          | 0.5865 | 0.4239    | 0.9512 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1
+- Datasets 3.0.0
+- Tokenizers 0.19.1

runs/Sep20_14-16-20_Indrajits-MBP/events.out.tfevents.1726866983.Indrajits-MBP.54539.0

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