kbbabu/flanT5_grammerly_ft
Browse files- README.md +55 -0
- adapter_config.json +21 -0
- adapter_model.bin +3 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: google/flan-t5-large
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tags:
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- generated_from_trainer
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model-index:
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- name: coedit-finetuned
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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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# coedit-finetuned
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This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
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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: 4
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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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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- training_steps: 10
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### Training results
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### Framework versions
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- Transformers 4.34.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "google/flan-t5-large",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"revision": null,
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"target_modules": [
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"q",
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"v"
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],
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"task_type": "SEQ_2_SEQ_LM"
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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e52de3d9b993b771fe3213e907f9aa46f8d8c9b81464d8a7894052f5acb0a61f
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size 9543245
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:ba95555802da279f8987828ce414751b00574c6f60cdc394c9d715094465b960
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size 4091
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