End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: dawid511/speecht5_finetuned_librispeech_polish_epo10_batch10_gas3
+tags:
+- generated_from_trainer
+model-index:
+- name: speecht5_finetuned_librispeech_polish_epo10_batch2_gas5
+  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_epo10_batch2_gas5
+
+This model is a fine-tuned version of [dawid511/speecht5_finetuned_librispeech_polish_epo10_batch10_gas3](https://huggingface.co/dawid511/speecht5_finetuned_librispeech_polish_epo10_batch10_gas3) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3632
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 5
+- total_train_batch_size: 10
+- 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: 200
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.925         | 1.2749 | 200  | 0.3776          |
+| 1.9529        | 2.5499 | 400  | 0.3753          |
+| 1.9113        | 3.8248 | 600  | 0.3750          |
+| 1.8367        | 5.0959 | 800  | 0.3684          |
+| 1.8619        | 6.3708 | 1000 | 0.3669          |
+| 1.8442        | 7.6458 | 1200 | 0.3659          |
+| 1.8224        | 8.9207 | 1400 | 0.3632          |
+
+
+### 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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runs/Jan12_17-49-49_0fd81e2129dd/events.out.tfevents.1736704193.0fd81e2129dd.773.2

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