End of training

README.md

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+---
+license: mit
+base_model: guilhermebastos96/speecht5_finetuned_sip_ai_v3
+tags:
+- generated_from_trainer
+model-index:
+- name: speecht5_finetuned_sip_ai_v4
+  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_sip_ai_v4
+
+This model is a fine-tuned version of [guilhermebastos96/speecht5_finetuned_sip_ai_v3](https://huggingface.co/guilhermebastos96/speecht5_finetuned_sip_ai_v3) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4523
+
+## 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: 4
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 10000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.5201        | 0.29  | 1000  | 0.4910          |
+| 0.505         | 0.58  | 2000  | 0.4849          |
+| 0.5017        | 0.87  | 3000  | 0.4713          |
+| 0.5018        | 1.16  | 4000  | 0.4636          |
+| 0.4843        | 1.45  | 5000  | 0.4618          |
+| 0.4857        | 1.74  | 6000  | 0.4560          |
+| 0.4795        | 2.03  | 7000  | 0.4557          |
+| 0.484         | 2.32  | 8000  | 0.4555          |
+| 0.4753        | 2.61  | 9000  | 0.4518          |
+| 0.4865        | 2.91  | 10000 | 0.4523          |
+
+
+### Framework versions
+
+- Transformers 4.39.0.dev0
+- Pytorch 2.2.1
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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": "4.39.0.dev0"
+}

model.safetensors

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