End of training
Browse files
README.md
CHANGED
|
@@ -13,6 +13,16 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 13 |
# gpt-imdb-ipo-beta_0.5
|
| 14 |
|
| 15 |
This model is a fine-tuned version of [lvwerra/gpt2-imdb](https://huggingface.co/lvwerra/gpt2-imdb) on an unknown dataset.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 16 |
|
| 17 |
## Model description
|
| 18 |
|
|
@@ -40,6 +50,26 @@ The following hyperparameters were used during training:
|
|
| 40 |
- lr_scheduler_warmup_steps: 150
|
| 41 |
- num_epochs: 3
|
| 42 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 43 |
### Framework versions
|
| 44 |
|
| 45 |
- Transformers 4.35.2
|
|
|
|
| 13 |
# gpt-imdb-ipo-beta_0.5
|
| 14 |
|
| 15 |
This model is a fine-tuned version of [lvwerra/gpt2-imdb](https://huggingface.co/lvwerra/gpt2-imdb) on an unknown dataset.
|
| 16 |
+
It achieves the following results on the evaluation set:
|
| 17 |
+
- Loss: 0.9628
|
| 18 |
+
- Rewards/chosen: -0.4934
|
| 19 |
+
- Rewards/rejected: -0.8358
|
| 20 |
+
- Rewards/accuracies: 0.7812
|
| 21 |
+
- Rewards/margins: 0.3424
|
| 22 |
+
- Logps/rejected: -265.3568
|
| 23 |
+
- Logps/chosen: -236.2520
|
| 24 |
+
- Logits/rejected: -32.5835
|
| 25 |
+
- Logits/chosen: -32.6621
|
| 26 |
|
| 27 |
## Model description
|
| 28 |
|
|
|
|
| 50 |
- lr_scheduler_warmup_steps: 150
|
| 51 |
- num_epochs: 3
|
| 52 |
|
| 53 |
+
### Training results
|
| 54 |
+
|
| 55 |
+
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|
| 56 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
|
| 57 |
+
| 10.732 | 0.21 | 500 | 21.6330 | -0.2465 | -0.4751 | 0.5792 | 0.2286 | -264.6355 | -235.7583 | -34.3644 | -34.6229 |
|
| 58 |
+
| 11.0252 | 0.42 | 1000 | 17.5281 | 0.3734 | 0.1008 | 0.5437 | 0.2726 | -263.4837 | -234.5185 | -35.1543 | -35.3784 |
|
| 59 |
+
| 17.5294 | 0.63 | 1500 | 18.4782 | -0.4521 | -0.6725 | 0.6208 | 0.2203 | -265.0302 | -236.1696 | -33.9319 | -34.0933 |
|
| 60 |
+
| 7.8398 | 0.83 | 2000 | 17.4130 | -0.5472 | -0.6406 | 0.6083 | 0.0933 | -264.9664 | -236.3597 | -34.0128 | -34.1803 |
|
| 61 |
+
| 6.2214 | 1.04 | 2500 | 9.4072 | -0.5101 | -0.8182 | 0.6292 | 0.3080 | -265.3216 | -236.2855 | -33.2396 | -33.3578 |
|
| 62 |
+
| 9.8652 | 1.25 | 3000 | 13.4878 | -0.6413 | -0.8801 | 0.6375 | 0.2388 | -265.4454 | -236.5479 | -32.0018 | -32.1655 |
|
| 63 |
+
| 11.4779 | 1.46 | 3500 | 7.5245 | -0.0755 | -0.3944 | 0.6750 | 0.3189 | -264.4740 | -235.4162 | -32.8982 | -33.0074 |
|
| 64 |
+
| 3.9833 | 1.67 | 4000 | 4.4888 | -0.7021 | -1.0680 | 0.6729 | 0.3659 | -265.8214 | -236.6695 | -32.9502 | -33.0304 |
|
| 65 |
+
| 3.389 | 1.88 | 4500 | 3.9317 | -0.5045 | -0.8887 | 0.7271 | 0.3841 | -265.4626 | -236.2743 | -32.7817 | -32.8828 |
|
| 66 |
+
| 3.2338 | 2.08 | 5000 | 2.4116 | -0.5185 | -0.8672 | 0.7146 | 0.3487 | -265.4196 | -236.3022 | -32.5025 | -32.5681 |
|
| 67 |
+
| 1.2381 | 2.29 | 5500 | 2.1558 | -0.5066 | -0.8815 | 0.7458 | 0.3749 | -265.4483 | -236.2784 | -32.3108 | -32.3902 |
|
| 68 |
+
| 1.6263 | 2.5 | 6000 | 1.1972 | -0.5280 | -0.8664 | 0.7396 | 0.3384 | -265.4182 | -236.3213 | -32.5356 | -32.6104 |
|
| 69 |
+
| 1.0882 | 2.71 | 6500 | 1.1163 | -0.5303 | -0.8584 | 0.7562 | 0.3281 | -265.4022 | -236.3259 | -32.5615 | -32.6406 |
|
| 70 |
+
| 1.0559 | 2.92 | 7000 | 0.9628 | -0.4934 | -0.8358 | 0.7812 | 0.3424 | -265.3568 | -236.2520 | -32.5835 | -32.6621 |
|
| 71 |
+
|
| 72 |
+
|
| 73 |
### Framework versions
|
| 74 |
|
| 75 |
- Transformers 4.35.2
|