Update README.md

README.md

@@ -1,67 +1,70 @@
----
-license: apache-2.0
-base_model: openai/whisper-tiny
-tags:
-- generated_from_trainer
-metrics:
-- wer
-model-index:
-- name: whisper-tiny-en
-  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-tiny-en
-
-This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.5603
-- Wer Ortho: 0.2844
-- Wer: 0.2910
-
-## 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: 1
-- eval_batch_size: 1
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: constant_with_warmup
-- lr_scheduler_warmup_steps: 50
-- training_steps: 2225
-- mixed_precision_training: Native AMP
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
-| 0.5396        | 1.0   | 445  | 0.4247          | 0.3387    | 0.3394 |
-| 0.2289        | 2.0   | 890  | 0.4628          | 0.2961    | 0.3017 |
-| 0.1448        | 3.0   | 1335 | 0.4680          | 0.2819    | 0.2869 |
-| 0.0405        | 4.0   | 1780 | 0.5402          | 0.3029    | 0.3052 |
-| 0.0092        | 5.0   | 2225 | 0.5603          | 0.2844    | 0.2910 |
-
-
-### Framework versions
-
-- Transformers 4.44.0
-- Pytorch 2.1.1+cu118
-- Datasets 2.20.0
-- Tokenizers 0.19.1
+---
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-tiny-en
+  results: []
+datasets:
+- PolyAI/minds14
+pipeline_tag: automatic-speech-recognition
+---
+
+<!-- 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-tiny-en
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5603
+- Wer Ortho: 0.2844
+- Wer: 0.2910
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_steps: 50
+- training_steps: 2225
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
+| 0.5396        | 1.0   | 445  | 0.4247          | 0.3387    | 0.3394 |
+| 0.2289        | 2.0   | 890  | 0.4628          | 0.2961    | 0.3017 |
+| 0.1448        | 3.0   | 1335 | 0.4680          | 0.2819    | 0.2869 |
+| 0.0405        | 4.0   | 1780 | 0.5402          | 0.3029    | 0.3052 |
+| 0.0092        | 5.0   | 2225 | 0.5603          | 0.2844    | 0.2910 |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.1.1+cu118
+- Datasets 2.20.0
+- Tokenizers 0.19.1