End of training

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: mms-1b-all-archimob-100
+  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. -->
+
+# mms-1b-all-archimob-100
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.6713
+- 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: 32
+- eval_batch_size: 16
+- 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: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| No log        | 1.0   | 3    | 6.4551          | 1.3270 |
+| No log        | 2.0   | 6    | 3.6504          | 0.9937 |
+| No log        | 3.0   | 9    | 4.8854          | 1.0    |
+| No log        | 4.0   | 12   | 4.6713          | 1.0    |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 1.10.0a0+0aef44c
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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