OpenELM-1_1B-DPO-full-max-random-reward
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 194.2460
- Rewards/chosen: -660.0
- Rewards/rejected: -568.0
- Rewards/accuracies: 0.4277
- Rewards/margins: -89.5
- Logps/rejected: -57344.0
- Logps/chosen: -66560.0
- Logits/rejected: 7.5
- Logits/chosen: 7.0
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6914 | 0.1047 | 100 | 0.6983 | -0.3262 | -0.3223 | 0.4004 | -0.0052 | -320.0 | -352.0 | -9.4375 | -9.8125 |
| 0.6914 | 0.2094 | 200 | 58.1418 | -201.0 | -173.0 | 0.4453 | -28.0 | -17664.0 | -20480.0 | 0.2969 | 0.2178 |
| 0.6914 | 0.3141 | 300 | 97.2609 | -330.0 | -284.0 | 0.4258 | -44.75 | -28800.0 | -33280.0 | -0.3262 | -0.3027 |
| 0.6914 | 0.4188 | 400 | 102.8539 | -348.0 | -300.0 | 0.4297 | -47.75 | -30464.0 | -35328.0 | -0.7656 | -0.7461 |
| 0.6914 | 0.5236 | 500 | 108.8187 | -368.0 | -318.0 | 0.4277 | -50.25 | -32128.0 | -37120.0 | -0.2490 | -0.2812 |
| 0.6914 | 0.6283 | 600 | 114.7604 | -388.0 | -336.0 | 0.4355 | -53.0 | -33792.0 | -39168.0 | 1.25 | 1.1016 |
| 0.6914 | 0.7330 | 700 | 120.9475 | -410.0 | -354.0 | 0.4277 | -55.75 | -35584.0 | -41216.0 | 2.3906 | 2.1875 |
| 0.6914 | 0.8377 | 800 | 127.3012 | -432.0 | -372.0 | 0.4336 | -58.75 | -37632.0 | -43520.0 | 4.2812 | 3.9062 |
| 0.6914 | 0.9424 | 900 | 133.8314 | -454.0 | -392.0 | 0.4297 | -62.0 | -39424.0 | -45824.0 | 4.4375 | 4.0938 |
| 0.6914 | 1.0471 | 1000 | 140.0195 | -476.0 | -410.0 | 0.4355 | -64.5 | -41472.0 | -47872.0 | 5.875 | 5.4062 |
| 0.6914 | 1.1518 | 1100 | 146.3645 | -496.0 | -430.0 | 0.4316 | -67.5 | -43264.0 | -49920.0 | 5.7812 | 5.375 |
| 0.6914 | 1.2565 | 1200 | 151.9910 | -516.0 | -446.0 | 0.4336 | -70.0 | -44800.0 | -51968.0 | 6.375 | 5.9375 |
| 0.6914 | 1.3613 | 1300 | 157.8106 | -536.0 | -462.0 | 0.4297 | -73.0 | -46592.0 | -54016.0 | 7.0 | 6.5 |
| 0.6914 | 1.4660 | 1400 | 163.0493 | -552.0 | -478.0 | 0.4316 | -75.5 | -48128.0 | -55552.0 | 7.3438 | 6.8125 |
| 0.6914 | 1.5707 | 1500 | 168.1114 | -572.0 | -494.0 | 0.4277 | -77.5 | -49664.0 | -57344.0 | 7.2812 | 6.75 |
| 0.6914 | 1.6754 | 1600 | 172.7765 | -588.0 | -506.0 | 0.4316 | -80.0 | -50944.0 | -58880.0 | 7.0625 | 6.5938 |
| 0.6914 | 1.7801 | 1700 | 176.9677 | -600.0 | -520.0 | 0.4395 | -81.5 | -52224.0 | -60416.0 | 7.4688 | 6.9375 |
| 0.6914 | 1.8848 | 1800 | 180.6313 | -612.0 | -532.0 | 0.4355 | -83.0 | -53248.0 | -61696.0 | 7.7812 | 7.25 |
| 0.6914 | 1.9895 | 1900 | 183.7843 | -624.0 | -540.0 | 0.4258 | -84.5 | -54272.0 | -62720.0 | 7.625 | 7.125 |
| 0.6914 | 2.0942 | 2000 | 186.4619 | -632.0 | -548.0 | 0.4277 | -86.0 | -55040.0 | -63744.0 | 7.6562 | 7.125 |
| 0.6914 | 2.1990 | 2100 | 188.7695 | -640.0 | -552.0 | 0.4258 | -87.0 | -55808.0 | -64512.0 | 7.5938 | 7.125 |
| 0.6914 | 2.3037 | 2200 | 190.4722 | -648.0 | -560.0 | 0.4355 | -87.5 | -56320.0 | -65024.0 | 7.5625 | 7.0625 |
| 0.6914 | 2.4084 | 2300 | 191.8555 | -652.0 | -564.0 | 0.4258 | -88.5 | -56576.0 | -65536.0 | 7.5 | 7.0312 |
| 0.6914 | 2.5131 | 2400 | 192.9321 | -656.0 | -564.0 | 0.4258 | -89.0 | -56832.0 | -66048.0 | 7.4375 | 6.9688 |
| 0.6914 | 2.6178 | 2500 | 193.6570 | -656.0 | -568.0 | 0.4258 | -89.0 | -57088.0 | -66048.0 | 7.4688 | 7.0 |
| 0.6914 | 2.7225 | 2600 | 193.9604 | -660.0 | -568.0 | 0.4238 | -89.5 | -57344.0 | -66048.0 | 7.5312 | 7.0625 |
| 0.6914 | 2.8272 | 2700 | 194.1360 | -660.0 | -568.0 | 0.4258 | -89.5 | -57344.0 | -66048.0 | 7.5 | 7.0312 |
| 0.6914 | 2.9319 | 2800 | 194.2460 | -660.0 | -568.0 | 0.4277 | -89.5 | -57344.0 | -66560.0 | 7.5 | 7.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.3.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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