diff --git a/README.md b/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..a5c8b59c6725f43b68dfdefd11d85ec5be901fc2
--- /dev/null
+++ b/README.md
@@ -0,0 +1,80 @@
+---
+license: apache-2.0
+base_model: openai/whisper-large-v3
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_16_0
+metrics:
+- wer
+model-index:
+- name: whisper-large-v3-pt-cv16-cuda
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: mozilla-foundation/common_voice_16_0 pt
+      type: mozilla-foundation/common_voice_16_0
+      split: None
+      args: pt
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.9998545572074984
+---
+
+<!-- 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-large-v3-pt-cv16-cuda
+
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the mozilla-foundation/common_voice_16_0 pt dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1325
+- Wer: 0.9999
+
+## 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-06
+- train_batch_size: 8
+- 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: 2000
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.199         | 0.26  | 1000 | 0.1563          | 0.1124 |
+| 0.1654        | 0.52  | 2000 | 0.1500          | 0.1052 |
+| 0.1794        | 0.77  | 3000 | 0.1379          | 0.0997 |
+| 0.0821        | 1.03  | 4000 | 0.1321          | 1.0007 |
+| 0.1292        | 1.29  | 5000 | 0.1325          | 0.9999 |
+
+
+### Framework versions
+
+- Transformers 4.37.0.dev0
+- Pytorch 2.2.0.dev20231212
+- Datasets 2.15.1.dev0
+- Tokenizers 0.15.0
diff --git a/all_results.json b/all_results.json
new file mode 100644
index 0000000000000000000000000000000000000000..42ef0f53a894a4194b11a1231b28963705a03296
--- /dev/null
+++ b/all_results.json
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+{
+    "epoch": 1.29,
+    "eval_loss": 0.132488414645195,
+    "eval_runtime": 171706.1904,
+    "eval_samples": 9399,
+    "eval_samples_per_second": 0.055,
+    "eval_steps_per_second": 0.007,
+    "eval_wer": 0.9998545572074984,
+    "train_loss": 0.05041759390830994,
+    "train_runtime": 1177508.0135,
+    "train_samples": 30998,
+    "train_samples_per_second": 0.034,
+    "train_steps_per_second": 0.004
+}
\ No newline at end of file
diff --git a/checkpoint-1000/config.json b/checkpoint-1000/config.json
new file mode 100644
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+++ b/checkpoint-1000/config.json
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+{
+  "_name_or_path": "openai/whisper-large-v3",
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "apply_spec_augment": true,
+  "architectures": [
+    "WhisperForConditionalGeneration"
+  ],
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+    50257
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+  "classifier_proj_size": 256,
+  "d_model": 1280,
+  "decoder_attention_heads": 20,
+  "decoder_ffn_dim": 5120,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 32,
+  "decoder_start_token_id": 50258,
+  "dropout": 0.0,
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+  "encoder_ffn_dim": 5120,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 32,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": null,
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.0,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.05,
+  "max_length": 448,
+  "max_source_positions": 1500,
+  "max_target_positions": 448,
+  "median_filter_width": 7,
+  "model_type": "whisper",
+  "num_hidden_layers": 32,
+  "num_mel_bins": 128,
+  "pad_token_id": 50256,
+  "scale_embedding": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.0.dev0",
+  "use_cache": true,
+  "use_weighted_layer_sum": false,
+  "vocab_size": 51866
+}
diff --git a/checkpoint-1000/generation_config.json b/checkpoint-1000/generation_config.json
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