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-journal-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-journal-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: 2.2606
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.7371        | 0.0   | 25   | 2.5507          |
+| 2.5853        | 0.01  | 50   | 2.3917          |
+| 2.3176        | 0.01  | 75   | 2.3258          |
+| 2.3459        | 0.01  | 100  | 2.3066          |
+| 2.3003        | 0.02  | 125  | 2.2957          |
+| 2.2767        | 0.02  | 150  | 2.2883          |
+| 2.2637        | 0.02  | 175  | 2.2835          |
+| 2.3387        | 0.03  | 200  | 2.2787          |
+| 2.3151        | 0.03  | 225  | 2.2759          |
+| 2.1807        | 0.03  | 250  | 2.2767          |
+| 2.4122        | 0.04  | 275  | 2.2703          |
+| 2.139         | 0.04  | 300  | 2.2680          |
+| 2.3887        | 0.04  | 325  | 2.2664          |
+| 2.2124        | 0.05  | 350  | 2.2648          |
+| 2.2271        | 0.05  | 375  | 2.2649          |
+| 2.3335        | 0.05  | 400  | 2.2634          |
+| 2.2411        | 0.06  | 425  | 2.2628          |
+| 2.4075        | 0.06  | 450  | 2.2619          |
+| 2.3136        | 0.06  | 475  | 2.2615          |
+| 2.2328        | 0.07  | 500  | 2.2606          |
+
+
+### 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": 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",
+    "Wqkv",
+    "fc1"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 104873776

training_args.bin

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