End of training

README.md

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+---
+language:
+- en
+base_model: distil-small.en
+tags:
+- generated_from_trainer
+datasets:
+- librispeech_asr
+metrics:
+- wer
+model-index:
+- name: DistilFT-English-10m
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: librispeech
+      type: librispeech_asr
+      config: default
+      split: None
+      args: 'config: en, split: test-clean'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 3.5814019853645607
+---
+
+<!-- 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. -->
+
+# DistilFT-English-10m
+
+This model is a fine-tuned version of [distil-small.en](https://huggingface.co/distil-small.en) on the librispeech dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5012
+- Wer: 3.5814
+
+## 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: 5e-07
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- 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: 300
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch    | Step | Validation Loss | Wer    |
+|:-------------:|:--------:|:----:|:---------------:|:------:|
+| 0.5641        | 33.3333  | 100  | 0.9641          | 3.4754 |
+| 0.3271        | 66.6667  | 200  | 0.7822          | 3.4652 |
+| 0.0871        | 100.0    | 300  | 0.5731          | 3.4530 |
+| 0.0149        | 133.3333 | 400  | 0.5142          | 3.4774 |
+| 0.0043        | 166.6667 | 500  | 0.5051          | 3.5345 |
+| 0.0026        | 200.0    | 600  | 0.5030          | 3.5569 |
+| 0.002         | 233.3333 | 700  | 0.5020          | 3.5671 |
+| 0.0016        | 266.6667 | 800  | 0.5015          | 3.5773 |
+| 0.0014        | 300.0    | 900  | 0.5013          | 3.5936 |
+| 0.0014        | 333.3333 | 1000 | 0.5012          | 3.5814 |
+
+
+### Framework versions
+
+- Transformers 4.41.0.dev0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

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+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50257,
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+  "is_multilingual": false,
+  "language": null,
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+  "use_scan": false
+}

runs/May31_20-59-33_a100gpu2/events.out.tfevents.1717182104.a100gpu2.4074284.0

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