End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: dawid511/speecht5_finetuned_librispeech_polish_epo6_batch2_gas4
+tags:
+- generated_from_trainer
+model-index:
+- name: speecht5_finetuned_librispeech_polish_epo6_batch4_gas2
+  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. -->
+
+# speecht5_finetuned_librispeech_polish_epo6_batch4_gas2
+
+This model is a fine-tuned version of [dawid511/speecht5_finetuned_librispeech_polish_epo6_batch2_gas4](https://huggingface.co/dawid511/speecht5_finetuned_librispeech_polish_epo6_batch2_gas4) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3653
+
+## 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: 0.0001
+- train_batch_size: 4
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 6
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.7593        | 0.5115 | 100  | 0.3747          |
+| 0.786         | 1.0205 | 200  | 0.3787          |
+| 0.7781        | 1.5320 | 300  | 0.3732          |
+| 0.767         | 2.0409 | 400  | 0.3830          |
+| 0.7654        | 2.5524 | 500  | 0.3753          |
+| 0.7471        | 3.0614 | 600  | 0.3697          |
+| 0.7531        | 3.5729 | 700  | 0.3672          |
+| 0.7365        | 4.0818 | 800  | 0.3716          |
+| 0.7385        | 4.5934 | 900  | 0.3674          |
+| 0.7218        | 5.1023 | 1000 | 0.3692          |
+| 0.7326        | 5.6138 | 1100 | 0.3653          |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "max_length": 1876,
+  "pad_token_id": 1,
+  "transformers_version": "4.47.1"
+}

model.safetensors

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