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---
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base_model: led-large-annual-report-QLoRA-fine-tuned-v0.9.7-openai-merged
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library_name: peft
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tags:
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- generated_from_trainer
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model-index:
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- name: led-large-annual-report-QLoRA-fine-tuned-v0.9.11-openai
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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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# led-large-annual-report-QLoRA-fine-tuned-v0.9.11-openai |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 1.2538 |
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- eval_runtime: 737.9292 |
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- eval_samples_per_second: 0.339 |
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- eval_steps_per_second: 0.169 |
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- epoch: 0.7143 |
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- step: 625 |
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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: 0.0002 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 2 |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu124 |
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- Datasets 2.14.5 |
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- Tokenizers 0.19.1 |
