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README.md
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---
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license: mit
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base_model: microsoft/phi-2
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tags:
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- generated_from_trainer
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datasets:
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- mozilla-foundation/common_voice_11_0
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model-index:
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- name: laft_lug_phi
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# laft_lug_phi
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the mozilla-foundation/common_voice_11_0 lg dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.6248
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 2000
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- num_epochs: 6.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.4008 | 1.0 | 1549 | 2.4035 |
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| 2.214 | 2.0 | 3098 | 2.2156 |
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| 2.0438 | 3.0 | 4647 | 2.1054 |
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| 1.5148 | 4.0 | 6196 | 2.0929 |
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| 1.1932 | 5.0 | 7745 | 2.3810 |
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| 0.5055 | 6.0 | 9294 | 2.6248 |
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### Framework versions
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- Transformers 4.44.0
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- Pytorch 2.4.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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