End of training

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: tun_wav2vec7
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/myriam-charfeddine5/huggingface/runs/g060p3bj)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/myriam-charfeddine5/huggingface/runs/g060p3bj)
+# tun_wav2vec7
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2586
+- Wer: 0.5945
+- Cer: 0.1592
+
+## 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: 0.0001
+- train_batch_size: 10
+- 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_steps: 70
+- num_epochs: 100
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer    | Cer    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
+| 2.0634        | 5.4545  | 300  | 1.3331          | 0.9794 | 0.3126 |
+| 0.7466        | 10.9091 | 600  | 1.1736          | 0.8522 | 0.2637 |
+| 0.496         | 16.3636 | 900  | 1.0844          | 0.8076 | 0.2344 |
+| 0.3864        | 21.8182 | 1200 | 1.5553          | 0.7766 | 0.2436 |
+| 0.2908        | 27.2727 | 1500 | 1.1381          | 0.7045 | 0.2089 |
+| 0.2241        | 32.7273 | 1800 | 1.4912          | 0.7182 | 0.2236 |
+| 0.175         | 38.1818 | 2100 | 1.1890          | 0.6426 | 0.1910 |
+| 0.1483        | 43.6364 | 2400 | 1.1582          | 0.6323 | 0.1667 |
+| 0.1237        | 49.0909 | 2700 | 1.2264          | 0.6357 | 0.1722 |
+| 0.1676        | 54.5455 | 3000 | 1.1899          | 0.6632 | 0.1726 |
+| 0.1437        | 60.0    | 3300 | 1.2421          | 0.6323 | 0.1793 |
+| 0.1261        | 65.4545 | 3600 | 1.2693          | 0.6117 | 0.1663 |
+| 0.0787        | 70.9091 | 3900 | 1.2301          | 0.6014 | 0.1601 |
+| 0.0952        | 76.3636 | 4200 | 1.2063          | 0.6186 | 0.1659 |
+| 0.1385        | 81.8182 | 4500 | 1.2732          | 0.6082 | 0.1642 |
+| 0.0659        | 87.2727 | 4800 | 1.3254          | 0.6048 | 0.1692 |
+| 0.058         | 92.7273 | 5100 | 1.2216          | 0.5979 | 0.1575 |
+| 0.1454        | 98.1818 | 5400 | 1.2586          | 0.5945 | 0.1592 |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1

model.safetensors

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