<deboramachadoandrade>/mistral-7binstruct-summary-100s

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: 1.4477
+- Loss: 1.4924
 
 ## Model description
 
@@ -46,16 +46,24 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_steps: 3
-- training_steps: 100
+- training_steps: 300
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.4501        | 0.22  | 25   | 1.4719          |
-| 1.5732        | 0.43  | 50   | 1.4585          |
-| 1.5759        | 0.65  | 75   | 1.4503          |
-| 1.549         | 0.86  | 100  | 1.4477          |
+| 1.6188        | 0.22  | 25   | 1.5050          |
+| 1.5803        | 0.43  | 50   | 1.4716          |
+| 1.541         | 0.65  | 75   | 1.4659          |
+| 1.5501        | 0.86  | 100  | 1.4611          |
+| 1.3937        | 1.08  | 125  | 1.4710          |
+| 1.388         | 1.29  | 150  | 1.4705          |
+| 1.3811        | 1.51  | 175  | 1.4681          |
+| 1.2997        | 1.72  | 200  | 1.4695          |
+| 1.3746        | 1.94  | 225  | 1.4583          |
+| 1.2607        | 2.16  | 250  | 1.4895          |
+| 1.172         | 2.37  | 275  | 1.4936          |
+| 1.1847        | 2.59  | 300  | 1.4924          |
 
 
 ### Framework versions

adapter_config.json

@@ -1,7 +1,7 @@
 {
   "alpha_pattern": {},
   "auto_mapping": null,
-  "base_model_name_or_path": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
   "bias": "none",
   "fan_in_fan_out": false,
   "inference_mode": true,

adapter_model.safetensors

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+size 27280152

runs/Mar05_00-12-16_19d606c365e8/events.out.tfevents.1709597537.19d606c365e8.3636.2

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training_args.bin

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 size 4920