Model save

README.md

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+---
+base_model: nadsoft/Hamsa-tiny
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: hamsa-tiny-pretrained
+  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. -->
+
+# hamsa-tiny-pretrained
+
+This model is a fine-tuned version of [nadsoft/Hamsa-tiny](https://huggingface.co/nadsoft/Hamsa-tiny) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3795
+- Wer: 28.7264
+
+## 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: 64
+- 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: 500
+- training_steps: 50000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer     |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|
+| 0.6597        | 0.1   | 2500  | 0.6394          | 48.8384 |
+| 0.5442        | 0.2   | 5000  | 0.5455          | 41.8543 |
+| 0.4954        | 0.3   | 7500  | 0.5018          | 39.8609 |
+| 0.474         | 0.4   | 10000 | 0.4770          | 38.5534 |
+| 0.4696        | 0.5   | 12500 | 0.4566          | 36.2515 |
+| 0.4312        | 0.6   | 15000 | 0.4433          | 36.8780 |
+| 0.4208        | 0.7   | 17500 | 0.4308          | 32.3714 |
+| 0.4089        | 0.8   | 20000 | 0.4229          | 33.4109 |
+| 0.4163        | 0.9   | 22500 | 0.4143          | 32.5423 |
+| 0.3831        | 1.0   | 25000 | 0.4077          | 31.6951 |
+| 0.3842        | 1.1   | 27500 | 0.4023          | 33.6316 |
+| 0.3848        | 1.2   | 30000 | 0.3984          | 30.1099 |
+| 0.3774        | 1.3   | 32500 | 0.3948          | 29.2864 |
+| 0.3667        | 1.4   | 35000 | 0.3912          | 29.5166 |
+| 0.3674        | 1.5   | 37500 | 0.3881          | 29.6115 |
+| 0.3721        | 1.6   | 40000 | 0.3851          | 30.4065 |
+| 0.3533        | 1.7   | 42500 | 0.3834          | 27.9693 |
+| 0.3594        | 1.8   | 45000 | 0.3815          | 28.8569 |
+| 0.3628        | 1.9   | 47500 | 0.3802          | 28.1260 |
+| 0.3392        | 2.0   | 50000 | 0.3795          | 28.7264 |
+
+
+### Framework versions
+
+- Transformers 4.37.0.dev0
+- Pytorch 2.1.2+cu121
+- Datasets 2.16.2.dev0
+- Tokenizers 0.15.0

generation_config.json

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+    [
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+      4
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+    [
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+    ]
+  ],
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+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": [
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+}