jucamohedano

README.md

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+---
+license: mit
+library_name: peft
+tags:
+- generated_from_trainer
+datasets:
+- viggo
+base_model: microsoft/phi-2
+model-index:
+- name: phi2-viggo-finetune
+  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. -->
+
+# phi2-viggo-finetune
+
+This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the viggo dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2331
+
+## 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: 2.5e-05
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 5
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.9356        | 0.04  | 50   | 1.4822          |
+| 0.7214        | 0.08  | 100  | 0.5014          |
+| 0.4192        | 0.12  | 150  | 0.3561          |
+| 0.3546        | 0.16  | 200  | 0.3135          |
+| 0.3119        | 0.2   | 250  | 0.2935          |
+| 0.2926        | 0.24  | 300  | 0.2799          |
+| 0.283         | 0.27  | 350  | 0.2711          |
+| 0.2731        | 0.31  | 400  | 0.2629          |
+| 0.2637        | 0.35  | 450  | 0.2583          |
+| 0.2693        | 0.39  | 500  | 0.2518          |
+| 0.2634        | 0.43  | 550  | 0.2478          |
+| 0.2652        | 0.47  | 600  | 0.2453          |
+| 0.2514        | 0.51  | 650  | 0.2429          |
+| 0.2588        | 0.55  | 700  | 0.2394          |
+| 0.2321        | 0.59  | 750  | 0.2381          |
+| 0.2348        | 0.63  | 800  | 0.2357          |
+| 0.2414        | 0.67  | 850  | 0.2355          |
+| 0.2455        | 0.71  | 900  | 0.2337          |
+| 0.2442        | 0.74  | 950  | 0.2331          |
+| 0.2192        | 0.78  | 1000 | 0.2331          |
+
+
+### Framework versions
+
+- PEFT 0.7.2.dev0
+- Transformers 4.38.0.dev0
+- 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": "microsoft/phi-2",
+  "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": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "fc2",
+    "Wqkv",
+    "fc1"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 26230352

training_args.bin

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