JulesGo/nek-finetune_0.3_all_data_4_lines

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: mistralai/Mixtral-8x7B-Instruct-v0.1
+model-index:
+- name: mixtral-nek-finetune_0.3_all_data_4_lines
+  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. -->
+
+# mixtral-nek-finetune_0.3_all_data_4_lines
+
+This model is a fine-tuned version of [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8051
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1
+- num_epochs: 1.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.8456        | 0.09  | 1000  | 0.8573          |
+| 0.838         | 0.18  | 2000  | 0.8426          |
+| 0.8373        | 0.27  | 3000  | 0.8341          |
+| 0.8168        | 0.36  | 4000  | 0.8274          |
+| 0.8163        | 0.44  | 5000  | 0.8222          |
+| 0.8079        | 0.53  | 6000  | 0.8181          |
+| 0.8089        | 0.62  | 7000  | 0.8140          |
+| 0.8119        | 0.71  | 8000  | 0.8108          |
+| 0.8007        | 0.8   | 9000  | 0.8082          |
+| 0.809         | 0.89  | 10000 | 0.8062          |
+| 0.8084        | 0.98  | 11000 | 0.8051          |
+
+
+### Framework versions
+
+- PEFT 0.8.2.dev0
+- Transformers 4.38.0.dev0
+- Pytorch 2.1.2+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": "mistralai/Mixtral-8x7B-Instruct-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": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "w3",
+    "o_proj",
+    "q_proj",
+    "lm_head",
+    "w1",
+    "k_proj",
+    "v_proj",
+    "w2"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 4375780256

training_args.bin

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