End of training

README.md

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+---
+license: mit
+base_model: guilhermebastos96/speecht5_finetuned_sip_ai_v2
+tags:
+- generated_from_trainer
+datasets:
+- multilingual_librispeech
+model-index:
+- name: speecht5_finetuned_sip_ai_v3
+  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_v3
+
+This model is a fine-tuned version of [guilhermebastos96/speecht5_finetuned_sip_ai_v2](https://huggingface.co/guilhermebastos96/speecht5_finetuned_sip_ai_v2) on the multilingual_librispeech dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3439
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.3996        | 1.68  | 1000  | 0.3638          |
+| 0.3885        | 3.35  | 2000  | 0.3554          |
+| 0.3785        | 5.03  | 3000  | 0.3508          |
+| 0.3764        | 6.71  | 4000  | 0.3488          |
+| 0.3732        | 8.38  | 5000  | 0.3485          |
+| 0.3806        | 10.06 | 6000  | 0.3460          |
+| 0.3739        | 11.74 | 7000  | 0.3454          |
+| 0.3703        | 13.41 | 8000  | 0.3458          |
+| 0.3732        | 15.09 | 9000  | 0.3445          |
+| 0.3695        | 16.76 | 10000 | 0.3439          |
+
+
+### Framework versions
+
+- Transformers 4.39.0.dev0
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.1
+- 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"
+}

runs/Feb23_18-46-10_bb2b7c47af18/events.out.tfevents.1708714006.bb2b7c47af18.318.0

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