End of training

README.md

@@ -0,0 +1,53 @@
+---
+library_name: transformers
+license: mit
+base_model: dawid511/speecht5_finetuned_librispeech_polish_epo3_batch2_gas2
+tags:
+- generated_from_trainer
+model-index:
+- name: speecht5_finetuned_librispeech_polish_epo3_batch2_gas3
+  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_epo3_batch2_gas3
+
+This model is a fine-tuned version of [dawid511/speecht5_finetuned_librispeech_polish_epo3_batch2_gas2](https://huggingface.co/dawid511/speecht5_finetuned_librispeech_polish_epo3_batch2_gas2) on an unknown dataset.
+
+## 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: 3
+- total_train_batch_size: 6
+- 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: 700
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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": "4.47.1"
+}

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:21ab25effb748ccaa88ca6ffba9d41e030d1821ae9843a4cca420ff4b43badff
+oid sha256:f97c0bb34a87aaa03feb7090215bc9bd6855127b58d6d61e9c90d924fba32132
 size 5560