End of training
Browse files- README.md +68 -0
- adapter_model.safetensors +1 -1
README.md
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---
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library_name: peft
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base_model: facebook/mbart-large-50-many-to-many-mmt
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tags:
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- base_model:adapter:facebook/mbart-large-50-many-to-many-mmt
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- lora
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- transformers
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metrics:
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- bleu
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model-index:
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- name: mbart-50-lora-cb-tl-run-2
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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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# mbart-50-lora-cb-tl-run-2
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This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.2100
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- Bleu: 31.0750
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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: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 64
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 800
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- num_epochs: 4
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- label_smoothing_factor: 0.1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu |
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|:-------------:|:------:|:----:|:---------------:|:-------:|
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| 6.3521 | 1.8131 | 500 | 6.2346 | 32.4265 |
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| 6.3218 | 3.6243 | 1000 | 6.2100 | 31.0750 |
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### Framework versions
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- PEFT 0.17.1
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- Transformers 4.57.1
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- Pytorch 2.8.0+cu126
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- Datasets 4.0.0
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- Tokenizers 0.22.1
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 1043140952
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version https://git-lfs.github.com/spec/v1
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size 1043140952
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