Maaz911/Mistral-V1

README.md

@@ -0,0 +1,100 @@
+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: mistralai/Mistral-7B-v0.1
+model-index:
+- name: mistral-Mistral-Finetune-1
+  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-Mistral-Finetune-1
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0554
+
+## 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
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.8941        | 0.05  | 25   | 1.7724          |
+| 1.8315        | 0.1   | 50   | 1.7261          |
+| 1.7522        | 0.14  | 75   | 1.6971          |
+| 1.6974        | 0.19  | 100  | 1.6678          |
+| 1.7149        | 0.24  | 125  | 1.6430          |
+| 1.6037        | 0.29  | 150  | 1.6201          |
+| 1.6611        | 0.34  | 175  | 1.6057          |
+| 1.7131        | 0.38  | 200  | 1.5854          |
+| 1.7619        | 0.43  | 225  | 1.5696          |
+| 1.6062        | 0.48  | 250  | 1.5494          |
+| 1.5171        | 0.53  | 275  | 1.5284          |
+| 1.6484        | 0.58  | 300  | 1.5091          |
+| 1.7207        | 0.62  | 325  | 1.4958          |
+| 1.6548        | 0.67  | 350  | 1.4817          |
+| 1.6447        | 0.72  | 375  | 1.4746          |
+| 1.5294        | 0.77  | 400  | 1.4358          |
+| 1.6865        | 0.82  | 425  | 1.4269          |
+| 1.4704        | 0.87  | 450  | 1.3963          |
+| 1.4935        | 0.91  | 475  | 1.3714          |
+| 1.4714        | 0.96  | 500  | 1.3496          |
+| 1.4913        | 1.01  | 525  | 1.3327          |
+| 1.3627        | 1.06  | 550  | 1.3060          |
+| 1.2748        | 1.11  | 575  | 1.2857          |
+| 1.1856        | 1.15  | 600  | 1.2624          |
+| 1.1102        | 1.2   | 625  | 1.2413          |
+| 1.2375        | 1.25  | 650  | 1.2214          |
+| 1.2421        | 1.3   | 675  | 1.1989          |
+| 1.1946        | 1.35  | 700  | 1.1823          |
+| 1.2389        | 1.39  | 725  | 1.1674          |
+| 1.2961        | 1.44  | 750  | 1.1567          |
+| 1.1831        | 1.49  | 775  | 1.1566          |
+| 1.2144        | 1.54  | 800  | 1.1326          |
+| 1.2881        | 1.59  | 825  | 1.1279          |
+| 1.2584        | 1.63  | 850  | 1.1073          |
+| 1.2837        | 1.68  | 875  | 1.0878          |
+| 1.1251        | 1.73  | 900  | 1.0812          |
+| 1.0938        | 1.78  | 925  | 1.0706          |
+| 1.0304        | 1.83  | 950  | 1.0636          |
+| 1.313         | 1.88  | 975  | 1.0676          |
+| 1.2245        | 1.92  | 1000 | 1.0604          |
+| 1.1293        | 1.97  | 1025 | 1.0554          |
+
+
+### Framework versions
+
+- PEFT 0.8.2
+- Transformers 4.38.0.dev0
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

adapter_config.json

@@ -0,0 +1,33 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "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": [
+    "k_proj",
+    "v_proj",
+    "gate_proj",
+    "up_proj",
+    "lm_head",
+    "down_proj",
+    "o_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1fde8edfa01be275a440263e3971b777a3097000d398da35dba65d8dc7f30c16
+size 741021416

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6a757a99412d729aa670aa1c05402ef18224321920bf6a8cff595da4ce6bb467
+size 4728