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README.md
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---
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license: other
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tags:
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- generated_from_trainer
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model-index:
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- name: opt-350m-magicprompt-v2
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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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# opt-350m-magicprompt-v2
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This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2987
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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: 0.0001
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- train_batch_size: 8
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- eval_batch_size: 2
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- gradient_accumulation_steps: 32
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- total_train_batch_size: 512
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- total_eval_batch_size: 4
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.05
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- num_epochs: 10.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.8568 | 0.95 | 16 | 2.5937 |
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| 2.2487 | 1.95 | 32 | 2.1050 |
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| 1.9011 | 2.95 | 48 | 1.8082 |
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| 1.6837 | 3.95 | 64 | 1.6178 |
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| 1.4887 | 4.95 | 80 | 1.4897 |
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| 1.3812 | 5.95 | 96 | 1.4017 |
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| 1.2944 | 6.95 | 112 | 1.3437 |
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| 1.2574 | 7.95 | 128 | 1.3127 |
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| 1.2325 | 8.95 | 144 | 1.3009 |
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| 1.2223 | 9.95 | 160 | 1.2987 |
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### Framework versions
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- Transformers 4.25.0.dev0
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- Pytorch 1.13.0+cu117
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- Datasets 2.6.1
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- Tokenizers 0.13.1
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