alexandra-barker
commited on
alexandra-barker/roberta-lora-gender-bias
Browse files- README.md +1 -7
- adapter_config.json +3 -7
- adapter_model.safetensors +2 -2
- training_args.bin +1 -1
README.md
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# lora_finetuned_roberta_mlm
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 1
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- eval_batch_size:
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- seed: 42
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- optimizer: Use 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: linear
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.0 | 1.0 | 3000 | nan |
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| 0.0 | 2.0 | 6000 | nan |
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### Framework versions
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# lora_finetuned_roberta_mlm
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use 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: linear
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### Training results
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### Framework versions
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adapter_config.json
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save":
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"LayerNorm",
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"classifier"
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],
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"peft_type": "LORA",
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"r":
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"query",
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"key",
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"value"
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],
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"task_type": "
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"use_dora": false,
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"use_rslora": false
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}
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"query",
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"value"
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],
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"task_type": "MASKED_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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training_args.bin
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