update model card README.md

README.md

@@ -1,3 +1,62 @@
 ---
 license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- lj_speech
+model-index:
+- name: wav2vec2-model-training
+  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. -->
+
+# wav2vec2-model-training
+
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the lj_speech dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1258
+- Wer: 0.1446
+
+## 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: 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: 1000
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 3.5099        | 1.52  | 500  | 1.1323          | 0.6740 |
+| 0.3293        | 3.05  | 1000 | 0.1430          | 0.1851 |
+| 0.1047        | 4.57  | 1500 | 0.1258          | 0.1446 |
+
+
+### Framework versions
+
+- Transformers 4.17.0
+- Pytorch 2.1.2
+- Datasets 2.15.0
+- Tokenizers 0.15.2