End of training

README.md

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+---
+license: cc-by-nc-4.0
+base_model: facebook/mms-1b-all
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: shqip-mms-3
+  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. -->
+
+# shqip-mms-3
+
+This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4195
+- Wer: 0.3447
+
+## 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: 32
+- 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: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 1.5717        | 0.31  | 300  | 0.9548          | 0.7373 |
+| 0.7823        | 0.63  | 600  | 0.7372          | 0.5886 |
+| 0.6863        | 0.94  | 900  | 0.6122          | 0.5261 |
+| 0.5908        | 1.25  | 1200 | 0.5215          | 0.4440 |
+| 0.5237        | 1.57  | 1500 | 0.4693          | 0.3987 |
+| 0.4662        | 1.88  | 1800 | 0.4195          | 0.3447 |
+
+
+### Framework versions
+
+- Transformers 4.32.0.dev0
+- Pytorch 2.1.0.dev20230810
+- Datasets 2.14.3
+- Tokenizers 0.13.3

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