GaetanoManzone/microsoft-phi2-open-ended-generation-ft

README.md

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+---
+library_name: peft
+license: mit
+base_model: microsoft/phi-2
+tags:
+- generated_from_trainer
+model-index:
+- name: train-dir
+  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. -->
+
+# train-dir
+
+This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6200
+
+## 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: 2
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- training_steps: 500
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 3.7486        | 0.0190 | 25   | 3.4551          |
+| 3.4581        | 0.0379 | 50   | 3.2213          |
+| 3.239         | 0.0569 | 75   | 3.0629          |
+| 3.1169        | 0.0758 | 100  | 2.9433          |
+| 2.9742        | 0.0948 | 125  | 2.8331          |
+| 2.8096        | 0.1137 | 150  | 2.7640          |
+| 2.7135        | 0.1327 | 175  | 2.7206          |
+| 2.7755        | 0.1516 | 200  | 2.6963          |
+| 2.7801        | 0.1706 | 225  | 2.6765          |
+| 2.7129        | 0.1895 | 250  | 2.6682          |
+| 2.7635        | 0.2085 | 275  | 2.6622          |
+| 2.7921        | 0.2274 | 300  | 2.6552          |
+| 2.7238        | 0.2464 | 325  | 2.6459          |
+| 2.6943        | 0.2654 | 350  | 2.6383          |
+| 2.6689        | 0.2843 | 375  | 2.6321          |
+| 2.7476        | 0.3033 | 400  | 2.6276          |
+| 2.6384        | 0.3222 | 425  | 2.6254          |
+| 2.7073        | 0.3412 | 450  | 2.6211          |
+| 2.6845        | 0.3601 | 475  | 2.6210          |
+| 2.7525        | 0.3791 | 500  | 2.6200          |
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.49.0
+- Pytorch 2.5.1+cu124
+- Datasets 3.3.2
+- Tokenizers 0.21.0

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "microsoft/phi-2",
+  "bias": "none",
+  "eva_config": null,
+  "exclude_modules": null,
+  "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": 64,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "fc1",
+    "Wqkv",
+    "fc2"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 104873776

training_args.bin

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