anoopsinghal/mistralai/Mistral-7B-Instruct-v0.1-sql-create-context

README.md

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+---
+license: apache-2.0
+base_model: mistralai/Mistral-7B-Instruct-v0.1
+tags:
+- generated_from_trainer
+model-index:
+- name: mistral-viggo-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. -->
+
+# mistral-viggo-finetune
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4072
+
+## 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
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 5
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.4563        | 0.01  | 50   | 0.7277          |
+| 0.5873        | 0.01  | 100  | 0.5276          |
+| 0.4951        | 0.02  | 150  | 0.4817          |
+| 0.4645        | 0.02  | 200  | 0.4664          |
+| 0.4682        | 0.03  | 250  | 0.4541          |
+| 0.4569        | 0.03  | 300  | 0.4447          |
+| 0.4428        | 0.04  | 350  | 0.4362          |
+| 0.4184        | 0.04  | 400  | 0.4326          |
+| 0.4174        | 0.05  | 450  | 0.4280          |
+| 0.4122        | 0.05  | 500  | 0.4242          |
+| 0.4176        | 0.06  | 550  | 0.4228          |
+| 0.4105        | 0.06  | 600  | 0.4175          |
+| 0.4103        | 0.07  | 650  | 0.4154          |
+| 0.4113        | 0.07  | 700  | 0.4133          |
+| 0.3979        | 0.08  | 750  | 0.4118          |
+| 0.3895        | 0.08  | 800  | 0.4109          |
+| 0.4088        | 0.09  | 850  | 0.4092          |
+| 0.399         | 0.09  | 900  | 0.4082          |
+| 0.4001        | 0.1   | 950  | 0.4075          |
+| 0.4067        | 0.1   | 1000 | 0.4072          |
+
+
+### Framework versions
+
+- Transformers 4.35.0.dev0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.1",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "lm_head",
+    "q_proj",
+    "k_proj",
+    "up_proj",
+    "v_proj",
+    "o_proj",
+    "gate_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

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training_args.bin

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