finetuned-roberta_large-gpt-exam-1

README.md

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+---
+license: apache-2.0
+base_model: sdadas/mmlw-retrieval-roberta-large
+tags:
+- trl
+- sft
+- generated_from_trainer
+datasets:
+- generator
+model-index:
+- name: finetuned-roberta-large-gpt-exam-1
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# finetuned-roberta-large-gpt-exam-1
+
+This model is a fine-tuned version of [sdadas/mmlw-retrieval-roberta-large](https://huggingface.co/sdadas/mmlw-retrieval-roberta-large) on the generator dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "sdadas/mmlw-retrieval-roberta-large",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "value",
+    "query"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.safetensors

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added_tokens.json

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+{
+  "<mask>": 128000
+}

runs/Jan17_09-58-11_b2367d0f41ed/events.out.tfevents.1705485525.b2367d0f41ed.1021.0

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special_tokens_map.json

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+{
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+    "rstrip": false,
+    "single_word": false
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+    "lstrip": true,
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
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+  "errors": "replace",
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+  "max_length": 512,
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+  "padding_side": "right",
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+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
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+  "truncation_strategy": "longest_first",
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+}

training_args.bin

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