update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: libri-alpha-0.75-Temp-1-attention-3-layers-distil-with-6-layers-att-take-4
+  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. -->
+
+# libri-alpha-0.75-Temp-1-attention-3-layers-distil-with-6-layers-att-take-4
+
+This model is a fine-tuned version of [rohitp1/libri-alpha-0.75-Temp-1-attention-3-layers-distil-with-6-layers-att-take-2](https://huggingface.co/rohitp1/libri-alpha-0.75-Temp-1-attention-3-layers-distil-with-6-layers-att-take-2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 37.5364
+- Wer: 0.3334
+
+## 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: 0.002
+- train_batch_size: 2
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.2
+- num_epochs: 40
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 43.7806       | 0.9   | 400  | 41.3073         | 0.2570 |
+| 48.6549       | 1.8   | 800  | 41.8945         | 0.2740 |
+| 57.4209       | 2.7   | 1200 | 39.9947         | 0.2872 |
+| 68.8449       | 3.59  | 1600 | 39.4528         | 0.3059 |
+| 79.4299       | 4.49  | 2000 | 38.9575         | 0.3179 |
+| 93.0514       | 5.39  | 2400 | 37.5364         | 0.3334 |
+
+
+### Framework versions
+
+- Transformers 4.24.0
+- Pytorch 1.12.1
+- Datasets 2.7.1
+- Tokenizers 0.11.0