Datalictichub/AI_Human_Text

README.md

@@ -1,9 +1,9 @@
 ---
-license: apache-2.0
+base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
 library_name: peft
+license: apache-2.0
 tags:
 - generated_from_trainer
-base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
 model-index:
 - name: aiHumangpt-ft
   results: []
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.5504
+- Loss: 1.4106
 
 ## Model description
 
@@ -44,29 +44,31 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 2
-- num_epochs: 10
+- num_epochs: 12
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 3.058         | 0.91  | 5    | 2.7601          |
-| 2.3878        | 2.0   | 11   | 2.6707          |
-| 2.7956        | 2.91  | 16   | 2.6278          |
-| 2.2611        | 4.0   | 22   | 2.6003          |
-| 2.6933        | 4.91  | 27   | 2.5844          |
-| 2.2262        | 6.0   | 33   | 2.5682          |
-| 2.63          | 6.91  | 38   | 2.5592          |
-| 2.1795        | 8.0   | 44   | 2.5528          |
-| 2.5948        | 8.91  | 49   | 2.5505          |
-| 1.2205        | 9.09  | 50   | 2.5504          |
+| 3.5789        | 1.0   | 9    | 2.5621          |
+| 2.167         | 2.0   | 18   | 1.7742          |
+| 1.6487        | 3.0   | 27   | 1.5763          |
+| 1.5012        | 4.0   | 36   | 1.5012          |
+| 1.4015        | 5.0   | 45   | 1.4344          |
+| 1.3308        | 6.0   | 54   | 1.4161          |
+| 1.2814        | 7.0   | 63   | 1.4146          |
+| 1.2415        | 8.0   | 72   | 1.3996          |
+| 1.2038        | 9.0   | 81   | 1.4044          |
+| 1.1733        | 10.0  | 90   | 1.4044          |
+| 1.1414        | 11.0  | 99   | 1.4122          |
+| 1.1275        | 12.0  | 108  | 1.4106          |
 
 
 ### Framework versions
 
-- PEFT 0.10.0
-- Transformers 4.38.2
-- Pytorch 2.1.0+cu121
-- Datasets 2.18.0
-- Tokenizers 0.15.2
+- PEFT 0.12.0
+- Transformers 4.42.4
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

adapter_model.safetensors

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runs/Aug30_02-07-54_5f0b44741090/events.out.tfevents.1724983683.5f0b44741090.333.0

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training_args.bin

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