Hejjee/iDonna_depression_v2

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.8068
+- Loss: 2.7839
 
 ## Model description
 
@@ -41,14 +41,15 @@ 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: 10
-- num_epochs: 0.5
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 3.1625        | 0.26  | 10   | 2.8556          |
-| 2.9423        | 0.51  | 20   | 2.8068          |
+| 3.2039        | 0.26  | 10   | 2.8684          |
+| 2.9116        | 0.51  | 20   | 2.8116          |
+| 3.0256        | 0.77  | 30   | 2.7839          |
 
 
 ### Framework versions

model.safetensors

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runs/Nov22_15-45-26_03d059c5ceac/events.out.tfevents.1700667930.03d059c5ceac.124.0

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training_args.bin

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