KQL/mistralv2_KQL_generation_3

README.md

@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 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 generator dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3490
+- Loss: 0.4281
 
 ## Model description
 
@@ -39,27 +39,36 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0002
+- learning_rate: 0.0003
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: constant
-- lr_scheduler_warmup_steps: 0.03
-- training_steps: 200
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.2485        | 7.14  | 200  | 0.3490          |
+| 0.8896        | 1.0   | 17   | 0.6754          |
+| 0.5429        | 2.0   | 34   | 0.4964          |
+| 0.4271        | 3.0   | 51   | 0.4475          |
+| 0.386         | 4.0   | 68   | 0.4246          |
+| 0.3377        | 5.0   | 85   | 0.4118          |
+| 0.3068        | 6.0   | 102  | 0.4102          |
+| 0.29          | 7.0   | 119  | 0.4088          |
+| 0.2638        | 8.0   | 136  | 0.4112          |
+| 0.2424        | 9.0   | 153  | 0.4268          |
+| 0.2317        | 10.0  | 170  | 0.4281          |
 
 
 ### Framework versions
 
-- PEFT 0.9.0
-- Transformers 4.38.2
-- Pytorch 2.2.1+cu121
+- PEFT 0.10.0
+- Transformers 4.39.3
+- Pytorch 2.2.2+cu121
 - Datasets 2.18.0
 - Tokenizers 0.15.2

adapter_config.json

@@ -6,6 +6,7 @@
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   "init_lora_weights": true,
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   "layers_pattern": null,
   "layers_to_transform": null,
   "loftq_config": {},

adapter_model.safetensors

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runs/Apr04_21-09-56_79f05ceb38c7/events.out.tfevents.1712265022.79f05ceb38c7.2007.0

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training_args.bin

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