End of training

README.md

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+---
+license: mit
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: microsoft/phi-2
+model-index:
+- name: phi2-dolly-sum-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-dolly-sum-finetune
+
+This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0505
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1
+- training_steps: 500
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.9329        | 0.05  | 25   | 2.4178          |
+| 2.4832        | 0.09  | 50   | 2.1541          |
+| 2.1688        | 0.14  | 75   | 2.0774          |
+| 2.2247        | 0.18  | 100  | 2.0725          |
+| 2.225         | 0.23  | 125  | 2.0652          |
+| 2.2217        | 0.27  | 150  | 2.0635          |
+| 2.2282        | 0.32  | 175  | 2.0611          |
+| 2.1104        | 0.37  | 200  | 2.0608          |
+| 2.1583        | 0.41  | 225  | 2.0569          |
+| 2.1197        | 0.46  | 250  | 2.0565          |
+| 2.1257        | 0.5   | 275  | 2.0559          |
+| 2.0018        | 0.55  | 300  | 2.0512          |
+| 2.0203        | 0.6   | 325  | 2.0546          |
+| 2.1332        | 0.64  | 350  | 2.0519          |
+| 2.1585        | 0.69  | 375  | 2.0503          |
+| 2.1287        | 0.73  | 400  | 2.0510          |
+| 2.1431        | 0.78  | 425  | 2.0515          |
+| 2.1601        | 0.82  | 450  | 2.0522          |
+| 2.088         | 0.87  | 475  | 2.0481          |
+| 2.0462        | 0.92  | 500  | 2.0505          |
+
+
+### Framework versions
+
+- PEFT 0.8.1
+- Transformers 4.37.2
+- Pytorch 2.2.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

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": 64,
+  "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": [
+    "fc2",
+    "fc1",
+    "Wqkv"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 104873776

training_args.bin

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