End of training

README.md

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+---
+language:
+- skr
+license: cc-by-nc-4.0
+base_model: facebook/mms-300m
+tags:
+- skr
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: Saraiki Speech
+  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. -->
+
+# Saraiki Speech
+
+This model is a fine-tuned version of [facebook/mms-300m](https://huggingface.co/facebook/mms-300m) on the common_voice dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4467
+- Wer: 1.0
+
+## 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: 0.001
+- 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_steps: 100
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer |
+|:-------------:|:-----:|:----:|:---------------:|:---:|
+| 3.5576        | 0.58  | 100  | 3.5468          | 1.0 |
+| 3.2271        | 1.16  | 200  | 3.6465          | 1.0 |
+| 3.3492        | 1.73  | 300  | 3.8570          | 1.0 |
+| 3.4442        | 2.31  | 400  | 3.7065          | 1.0 |
+| 3.29          | 2.89  | 500  | 3.5289          | 1.0 |
+| 3.2951        | 3.47  | 600  | 3.7043          | 1.0 |
+| 3.2919        | 4.05  | 700  | 3.6748          | 1.0 |
+| 3.301         | 4.62  | 800  | 3.4422          | 1.0 |
+| 3.2103        | 5.2   | 900  | 3.4955          | 1.0 |
+| 3.2728        | 5.78  | 1000 | 3.6059          | 1.0 |
+| 3.2458        | 6.36  | 1100 | 3.4087          | 1.0 |
+| 3.244         | 6.94  | 1200 | 3.4352          | 1.0 |
+| 3.2562        | 7.51  | 1300 | 3.4648          | 1.0 |
+| 3.2116        | 8.09  | 1400 | 3.4618          | 1.0 |
+| 3.2268        | 8.67  | 1500 | 3.4313          | 1.0 |
+| 3.2387        | 9.25  | 1600 | 3.4246          | 1.0 |
+| 3.1921        | 9.83  | 1700 | 3.4467          | 1.0 |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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