Model save

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-medium.en
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-medium.en-cit-do015-wd0-lr3e-06-FULL
+  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-medium.en-cit-do015-wd0-lr3e-06-FULL
+
+This model is a fine-tuned version of [openai/whisper-medium.en](https://huggingface.co/openai/whisper-medium.en) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6528
+- Wer Ortho: 32.2429
+- Wer: 22.4370
+
+## 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: 3e-06
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
+| 1.8096        | 0.4773 | 50   | 1.2178          | 42.1611   | 31.5966 |
+| 1.1953        | 0.9547 | 100  | 0.9199          | 37.1498   | 27.2773 |
+| 0.9212        | 1.4320 | 150  | 0.8408          | 34.7486   | 25.2605 |
+| 0.8448        | 1.9093 | 200  | 0.7837          | 33.6001   | 24.5210 |
+| 0.7174        | 2.3866 | 250  | 0.7344          | 32.5039   | 22.9076 |
+| 0.6519        | 2.8640 | 300  | 0.7002          | 33.3391   | 23.4958 |
+| 0.5866        | 3.3413 | 350  | 0.6802          | 32.2429   | 22.7395 |
+| 0.5625        | 3.8186 | 400  | 0.6631          | 32.6083   | 22.8067 |
+| 0.5207        | 4.2959 | 450  | 0.6548          | 32.6779   | 22.8908 |
+| 0.5059        | 4.7733 | 500  | 0.6528          | 32.2429   | 22.4370 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 1.13.1+cu117
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+  "begin_suppress_tokens": [
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+    50256
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50257,
+  "eos_token_id": 50256,
+  "is_multilingual": false,
+  "max_initial_timestamp_index": 50,
+  "max_length": 448,
+  "no_timestamps_token_id": 50362,
+  "pad_token_id": 50256,
+  "prev_sot_token_id": 50360,
+  "return_timestamps": false,
+  "suppress_tokens": [
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+  "task": "transcribe",
+  "task_to_id": {
+    "transcribe": 50360,
+    "translate": 50359
+  },
+  "transformers_version": "4.42.4"
+}

runs/Jul23_11-59-41_whisper-finetune2/events.out.tfevents.1721735993.whisper-finetune2

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