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alexandra-barker/roberta-lora-gender-bias

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README.md CHANGED
@@ -15,8 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
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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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@@ -37,7 +35,7 @@ More information needed
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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: 1
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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
@@ -45,10 +43,6 @@ The following hyperparameters were used during training:
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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
adapter_config.json CHANGED
@@ -14,20 +14,16 @@
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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": 8,
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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": "CAUSAL_LM",
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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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