update model card README.md

README.md

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+---
+language:
+- ro
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Whisper Small Ro - VM6
+  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. -->
+
+# Whisper Small Ro - VM6
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9801
+- Wer: 44.7801
+
+## 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: 1e-05
+- train_batch_size: 16
+- 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: 150
+- training_steps: 4000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.05          | 3.69  | 1000 | 0.8344          | 50.6543 |
+| 0.0077        | 7.38  | 2000 | 0.9303          | 44.9572 |
+| 0.0043        | 11.07 | 3000 | 0.9479          | 48.7848 |
+| 0.0008        | 14.76 | 4000 | 0.9801          | 44.7801 |
+
+
+### Framework versions
+
+- Transformers 4.32.0.dev0
+- Pytorch 2.1.0+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3