End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: Timmyafolami/speecht5_female_british_english
+tags:
+- generated_from_trainer
+model-index:
+- name: speecht5_female_british_english_1
+  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_female_british_english_1
+
+This model is a fine-tuned version of [Timmyafolami/speecht5_female_british_english](https://huggingface.co/Timmyafolami/speecht5_female_british_english) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4200
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.4698        | 0.4890 | 100  | 0.4438          |
+| 0.4769        | 0.9780 | 200  | 0.4457          |
+| 0.4529        | 1.4670 | 300  | 0.4540          |
+| 0.4553        | 1.9560 | 400  | 0.4345          |
+| 0.4522        | 2.4450 | 500  | 0.4331          |
+| 0.4539        | 2.9340 | 600  | 0.4259          |
+| 0.4462        | 3.4230 | 700  | 0.4236          |
+| 0.4408        | 3.9120 | 800  | 0.4333          |
+| 0.4286        | 4.4010 | 900  | 0.4167          |
+| 0.4294        | 4.8900 | 1000 | 0.4200          |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.1.0+cu118
+- Datasets 3.0.1
+- Tokenizers 0.20.0

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": "4.45.1"
+}

model.safetensors

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