End of training

README.md

@@ -0,0 +1,73 @@
+---
+library_name: transformers
+license: mit
+base_model: Dawid511/speecht5_finetuned_commonvoice_polish_500_10k
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_17_0
+model-index:
+- name: speecht5_finetuned_commonvoice_polish_1000_10k
+  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_commonvoice_polish_1000_10k
+
+This model is a fine-tuned version of [Dawid511/speecht5_finetuned_commonvoice_polish_500_10k](https://huggingface.co/Dawid511/speecht5_finetuned_commonvoice_polish_500_10k) on the common_voice_17_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4561
+
+## 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: 8
+- total_train_batch_size: 32
+- 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
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.5301        | 0.3431 | 100  | 0.4937          |
+| 0.5276        | 0.6861 | 200  | 0.4910          |
+| 0.5209        | 1.0292 | 300  | 0.4826          |
+| 0.5084        | 1.3722 | 400  | 0.4772          |
+| 0.5086        | 1.7153 | 500  | 0.4763          |
+| 0.5056        | 2.0583 | 600  | 0.4681          |
+| 0.4981        | 2.4014 | 700  | 0.4655          |
+| 0.4924        | 2.7444 | 800  | 0.4611          |
+| 0.4861        | 3.0875 | 900  | 0.4618          |
+| 0.4833        | 3.4305 | 1000 | 0.4561          |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

generation_config.json

@@ -0,0 +1,9 @@
+{
+  "_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": "4.46.2"
+}