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---
base_model: final_models/focus_kin_llama_after_focus_reinit
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
model-index:
- name: focus_kin_llama_focus_trained
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. -->
# focus_kin_llama_focus_trained
This model is a fine-tuned version of [final_models/focus_kin_llama_after_focus_reinit](https://huggingface.co/final_models/focus_kin_llama_after_focus_reinit) on the mozilla-foundation/common_voice_11_0 rw dataset.
It achieves the following results on the evaluation set:
- Loss: 5.0483
## 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: 0.0003
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 2000
- num_epochs: 6.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 4.8538 | 1.0 | 11772 | 5.1956 |
| 5.096 | 2.0 | 23544 | 4.9890 |
| 4.6339 | 3.0 | 35316 | 4.8349 |
| 3.7299 | 4.0 | 47088 | 4.6903 |
| 2.188 | 5.0 | 58860 | 4.8203 |
| 1.6435 | 6.0 | 70632 | 5.0483 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.19.1