HuggingFaceUser/adapter-mini-medmobile-MEDQA-Extended-V3

README.md

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+---
+base_model: microsoft/Phi-3-mini-4k-instruct
+library_name: peft
+license: mit
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: phi-3-mini-LoRA-MEDQA-Extended-V3
+  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. -->
+
+# phi-3-mini-LoRA-MEDQA-Extended-V3
+
+This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6233
+
+## 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: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.7825        | 0.0882 | 200  | 0.6760          |
+| 0.6593        | 0.1764 | 400  | 0.6488          |
+| 0.6454        | 0.2646 | 600  | 0.6424          |
+| 0.6424        | 0.3528 | 800  | 0.6382          |
+| 0.6382        | 0.4410 | 1000 | 0.6358          |
+| 0.6342        | 0.5292 | 1200 | 0.6340          |
+| 0.6355        | 0.6174 | 1400 | 0.6327          |
+| 0.6355        | 0.7055 | 1600 | 0.6315          |
+| 0.6336        | 0.7937 | 1800 | 0.6307          |
+| 0.6321        | 0.8819 | 2000 | 0.6298          |
+| 0.6321        | 0.9701 | 2200 | 0.6291          |
+| 0.6298        | 1.0583 | 2400 | 0.6286          |
+| 0.6285        | 1.1465 | 2600 | 0.6280          |
+| 0.628         | 1.2347 | 2800 | 0.6275          |
+| 0.6282        | 1.3229 | 3000 | 0.6271          |
+| 0.6278        | 1.4111 | 3200 | 0.6267          |
+| 0.6257        | 1.4993 | 3400 | 0.6264          |
+| 0.6276        | 1.5875 | 3600 | 0.6260          |
+| 0.6253        | 1.6757 | 3800 | 0.6256          |
+| 0.6253        | 1.7639 | 4000 | 0.6253          |
+| 0.6242        | 1.8521 | 4200 | 0.6250          |
+| 0.6252        | 1.9402 | 4400 | 0.6247          |
+| 0.6239        | 2.0284 | 4600 | 0.6246          |
+| 0.6222        | 2.1166 | 4800 | 0.6244          |
+| 0.6226        | 2.2048 | 5000 | 0.6242          |
+| 0.6219        | 2.2930 | 5200 | 0.6241          |
+| 0.6227        | 2.3812 | 5400 | 0.6240          |
+| 0.6195        | 2.4694 | 5600 | 0.6239          |
+| 0.6219        | 2.5576 | 5800 | 0.6237          |
+| 0.6221        | 2.6458 | 6000 | 0.6236          |
+| 0.6238        | 2.7340 | 6200 | 0.6235          |
+| 0.621         | 2.8222 | 6400 | 0.6234          |
+| 0.621         | 2.9104 | 6600 | 0.6234          |
+| 0.6222        | 2.9986 | 6800 | 0.6233          |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.43.3
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "microsoft/Phi-3-mini-4k-instruct",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "up_proj",
+    "q_proj",
+    "k_proj",
+    "v_proj",
+    "gate_proj",
+    "down_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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added_tokens.json

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special_tokens_map.json

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+{
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+    "lstrip": false,
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+}

tokenizer.model

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tokenizer_config.json

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+  "chat_template": "{% for message in messages %}{% if message['role'] == 'system' %}{{'<|system|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'user' %}{{'<|user|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|assistant|>\n' + message['content'] + '<|end|>\n'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{% else %}{{ eos_token }}{% endif %}",
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+  "model_max_length": 4096,
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+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
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+}

training_args.bin

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