End of training

README.md

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+---
+library_name: transformers
+language:
+- multilingual
+license: apache-2.0
+base_model: openai/whisper-large-v3
+tags:
+- whisper-event
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: Fauna-v3.6 - Rootflo
+  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. -->
+
+# Fauna-v3.6 - Rootflo
+
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1129
+- Bleu: 19.6035
+
+## 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: 2e-06
+- train_batch_size: 96
+- eval_batch_size: 96
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 768
+- total_eval_batch_size: 384
+- optimizer: Use adamw_bnb_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- training_steps: 0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Bleu    |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.3935        | 0.9961 | 129  | 0.1285          | 16.5443 |
+| 0.2695        | 2.0    | 259  | 0.1173          | 18.5659 |
+| 0.2469        | 2.9961 | 388  | 0.1135          | 11.4429 |
+| 0.2285        | 3.9846 | 516  | 0.1129          | 19.6035 |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.0.2
+- Tokenizers 0.20.3