End of training

README.md

@@ -0,0 +1,76 @@
+---
+license: apache-2.0
+base_model: openai/whisper-medium
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+- wer
+model-index:
+- name: Whisper Medium GA-EN Speech Translation
+  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 GA-EN Speech Translation
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.6073
+- Bleu: 0.22
+- Chrf: 12.93
+- Wer: 104.3224
+
+## 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: 0.0003
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 0.03
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf  | Wer       |
+|:-------------:|:-----:|:----:|:---------------:|:----:|:-----:|:---------:|
+| 4.698         | 0.11  | 100  | 4.6156          | 0.0  | 1.58  | 1852.0486 |
+| 4.2397        | 0.22  | 200  | 4.0051          | 0.06 | 4.23  | 206.9338  |
+| 3.8768        | 0.32  | 300  | 3.7864          | 0.18 | 5.21  | 97.9739   |
+| 3.8755        | 0.43  | 400  | 3.6008          | 0.19 | 5.28  | 96.0378   |
+| 3.529         | 0.54  | 500  | 3.5774          | 0.29 | 6.96  | 108.0144  |
+| 3.32          | 0.65  | 600  | 3.5197          | 0.23 | 8.97  | 99.3697   |
+| 3.3073        | 0.76  | 700  | 3.5056          | 0.49 | 9.43  | 104.0973  |
+| 3.1893        | 0.86  | 800  | 3.5861          | 0.32 | 12.86 | 114.3629  |
+| 3.0739        | 0.97  | 900  | 3.5003          | 0.6  | 12.1  | 101.3057  |
+| 2.7718        | 1.08  | 1000 | 3.6073          | 0.22 | 12.93 | 104.3224  |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+      4
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+    [
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+      1
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+    [
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+    [
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+  "begin_suppress_tokens": [
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+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": [
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+    [
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+  ],
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+  "transformers_version": "4.39.3"
+}