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README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+model-index:
+- name: mistral-7b-Javelin-small
+  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. -->
+
+# mistral-7b-Javelin-small
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2137
+
+## 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: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.3516        | 0.07  | 1    | 2.0247          |
+| 2.0225        | 0.14  | 2    | 1.8721          |
+| 1.7928        | 0.21  | 3    | 1.8193          |
+| 1.7108        | 0.29  | 4    | 1.7804          |
+| 1.6954        | 0.36  | 5    | 1.7180          |
+| 1.6487        | 0.43  | 6    | 1.6507          |
+| 1.4139        | 0.5   | 7    | 1.5918          |
+| 1.4606        | 0.57  | 8    | 1.5408          |
+| 1.3855        | 0.64  | 9    | 1.5004          |
+| 1.4993        | 0.71  | 10   | 1.4576          |
+| 1.3484        | 0.79  | 11   | 1.4155          |
+| 1.6875        | 0.86  | 12   | 1.3773          |
+| 1.2003        | 0.93  | 13   | 1.3420          |
+| 1.4851        | 1.0   | 14   | 1.3123          |
+| 1.5295        | 1.07  | 15   | 1.2891          |
+| 1.0738        | 1.14  | 16   | 1.2648          |
+| 1.2737        | 1.21  | 17   | 1.2451          |
+| 1.2225        | 1.29  | 18   | 1.2304          |
+| 1.0444        | 1.36  | 19   | 1.2194          |
+| 1.0923        | 1.43  | 20   | 1.2137          |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.36.2
+- Pytorch 2.0.0
+- 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": "mistralai/Mistral-7B-Instruct-v0.2",
+  "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": [
+    "k_proj",
+    "down_proj",
+    "up_proj",
+    "lm_head",
+    "gate_proj",
+    "v_proj",
+    "q_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:74a0c92ae7c92bba6823d0b018b94b29fb3389972323f8cb32ab0e87c8eb2388
+size 609389712