End of training

README.md

@@ -0,0 +1,76 @@
+---
+license: apache-2.0
+base_model: OthmaneJ/distil-wav2vec2
+tags:
+- generated_from_trainer
+datasets:
+- OthmaneJ/distil-wav2vec2
+metrics:
+- accuracy
+model-index:
+- name: distil-wav2vec2-finetuned-giga-speech
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: Giga Speech
+      type: OthmaneJ/distil-wav2vec2
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.46
+---
+
+<!-- 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. -->
+
+# distil-wav2vec2-finetuned-giga-speech
+
+This model is a fine-tuned version of [OthmaneJ/distil-wav2vec2](https://huggingface.co/OthmaneJ/distil-wav2vec2) on the Giga Speech dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6843
+- Accuracy: 0.46
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.2474        | 1.0   | 113  | 2.1219          | 0.28     |
+| 2.1323        | 2.0   | 226  | 1.9120          | 0.28     |
+| 1.8539        | 3.0   | 339  | 1.7446          | 0.42     |
+| 1.831         | 4.0   | 452  | 1.6843          | 0.46     |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3