End of training

README.md

@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # msytral-db-ai
 
-This model is a fine-tuned version of [TheBloke/Mistral-7B-v0.1-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-v0.1-GPTQ) on the None dataset.
+This model is a fine-tuned version of [TheBloke/Mistral-7B-v0.1-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-v0.1-GPTQ) on an unknown dataset.
 
 ## Model description
 
@@ -32,16 +32,13 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0002
-- train_batch_size: 1
+- learning_rate: 5e-05
+- train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 4
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 2
-- training_steps: 300
+- num_epochs: 3.0
 
 ### Training results
 

adapter_config.json

@@ -1,6 +1,6 @@
 {
   "auto_mapping": null,
-  "base_model_name_or_path": "TheBloke/Mistral-7B-v0.1-GPTQ",
+  "base_model_name_or_path": null,
   "bias": "none",
   "fan_in_fan_out": false,
   "inference_mode": true,
@@ -8,7 +8,7 @@
   "layers_pattern": null,
   "layers_to_transform": null,
   "lora_alpha": 32,
-  "lora_dropout": 0.05,
+  "lora_dropout": 0.1,
   "modules_to_save": null,
   "peft_type": "LORA",
   "r": 8,

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:05aeea6bd63c4ab337b6755fbd03d981db5041a913b019f55097b32f3c25d59a
-size 27354957
+oid sha256:e7f1a8776e89ce643602e0354a6b86f0633183c27c59d8fe4453d53d88abed2d
+size 27372365

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9cf0e05745992afb8b08ff1d42e05b70bf4167ae9af638dd39a84ea94e92b8cb
-size 4091
+oid sha256:ab5570faac5b35638087e7a5d47be9b84daf7141729fcbe3dfa4cac374e91726
+size 4027