OpenELM-1_1B-DPO-full-2-5
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1888
- Rewards/chosen: -13.5625
- Rewards/rejected: -17.0
- Rewards/accuracies: 0.7070
- Rewards/margins: 3.4062
- Logps/rejected: -1984.0
- Logps/chosen: -1672.0
- Logits/rejected: 6.2188
- Logits/chosen: 4.5312
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.615 | 0.1047 | 100 | 0.6275 | -0.7383 | -0.9961 | 0.6719 | 0.2578 | -386.0 | -388.0 | -9.625 | -9.8125 |
| 0.5897 | 0.2093 | 200 | 0.6029 | -1.6641 | -2.0938 | 0.6934 | 0.4336 | -496.0 | -480.0 | -9.375 | -9.75 |
| 0.6457 | 0.3140 | 300 | 0.5886 | -1.3828 | -1.8281 | 0.6895 | 0.4473 | -470.0 | -454.0 | -13.5625 | -13.75 |
| 0.6271 | 0.4186 | 400 | 0.5936 | -1.7031 | -2.25 | 0.6992 | 0.5430 | -510.0 | -484.0 | -8.4375 | -8.8125 |
| 0.5746 | 0.5233 | 500 | 0.5886 | -2.0156 | -2.5625 | 0.6816 | 0.5430 | -540.0 | -516.0 | -6.6562 | -7.4062 |
| 0.5484 | 0.6279 | 600 | 0.5710 | -3.9531 | -4.6875 | 0.6973 | 0.7422 | -756.0 | -708.0 | -5.75 | -6.4375 |
| 0.5747 | 0.7326 | 700 | 0.5820 | -2.75 | -3.4844 | 0.6953 | 0.7227 | -632.0 | -592.0 | -6.5312 | -7.5938 |
| 0.5591 | 0.8373 | 800 | 0.5662 | -2.8594 | -3.5156 | 0.7090 | 0.6523 | -636.0 | -600.0 | -3.375 | -4.7812 |
| 0.5892 | 0.9419 | 900 | 0.5821 | -2.625 | -3.2344 | 0.7012 | 0.5977 | -608.0 | -576.0 | -4.8438 | -6.125 |
| 0.261 | 1.0466 | 1000 | 0.5852 | -3.9375 | -4.9688 | 0.7324 | 1.0078 | -780.0 | -708.0 | -0.8672 | -2.1094 |
| 0.2407 | 1.1512 | 1100 | 0.5943 | -4.0625 | -5.0 | 0.6895 | 0.9336 | -784.0 | -720.0 | -0.3672 | -1.9688 |
| 0.2348 | 1.2559 | 1200 | 0.6151 | -4.9375 | -5.9688 | 0.6777 | 1.0547 | -884.0 | -808.0 | 1.5312 | 0.2227 |
| 0.257 | 1.3605 | 1300 | 0.6005 | -4.4688 | -5.4688 | 0.6973 | 0.9883 | -832.0 | -760.0 | 1.5312 | -0.1445 |
| 0.2416 | 1.4652 | 1400 | 0.6023 | -5.1875 | -6.125 | 0.6855 | 0.9258 | -900.0 | -836.0 | 1.9141 | 0.2715 |
| 0.215 | 1.5699 | 1500 | 0.6062 | -5.5938 | -6.7188 | 0.6934 | 1.1328 | -960.0 | -872.0 | 1.9219 | 0.2637 |
| 0.2534 | 1.6745 | 1600 | 0.6013 | -4.6562 | -5.7188 | 0.7129 | 1.0391 | -856.0 | -780.0 | 2.7969 | 1.1406 |
| 0.2463 | 1.7792 | 1700 | 0.6173 | -5.2812 | -6.4375 | 0.6914 | 1.1484 | -928.0 | -844.0 | 1.9688 | 0.0977 |
| 0.23 | 1.8838 | 1800 | 0.6153 | -5.8438 | -7.0625 | 0.7090 | 1.2266 | -992.0 | -896.0 | 2.9062 | 1.0156 |
| 0.2092 | 1.9885 | 1900 | 0.6082 | -5.5625 | -6.7188 | 0.7051 | 1.1641 | -956.0 | -868.0 | 2.9375 | 1.0781 |
| 0.0271 | 2.0931 | 2000 | 0.7202 | -7.625 | -9.375 | 0.7207 | 1.7734 | -1224.0 | -1080.0 | 3.5781 | 1.8516 |
| 0.0367 | 2.1978 | 2100 | 0.8323 | -9.3125 | -11.5 | 0.7168 | 2.1406 | -1432.0 | -1248.0 | 4.7188 | 2.9219 |
| 0.0443 | 2.3025 | 2200 | 0.7840 | -8.0 | -10.0625 | 0.7324 | 2.0625 | -1296.0 | -1112.0 | 3.9375 | 2.0312 |
| 0.0302 | 2.4071 | 2300 | 0.7981 | -8.375 | -10.375 | 0.7070 | 2.0 | -1328.0 | -1152.0 | 4.625 | 2.8125 |
| 0.031 | 2.5118 | 2400 | 0.7786 | -7.9062 | -9.875 | 0.7129 | 1.9922 | -1280.0 | -1104.0 | 4.875 | 3.0156 |
| 0.018 | 2.6164 | 2500 | 0.8584 | -9.9375 | -12.125 | 0.6914 | 2.2031 | -1496.0 | -1312.0 | 5.4688 | 3.6719 |
| 0.0248 | 2.7211 | 2600 | 0.8079 | -8.625 | -10.6875 | 0.7012 | 2.0469 | -1352.0 | -1176.0 | 5.0312 | 3.0938 |
| 0.0263 | 2.8257 | 2700 | 0.8371 | -9.3125 | -11.375 | 0.6914 | 2.0156 | -1424.0 | -1248.0 | 5.2812 | 3.4531 |
| 0.033 | 2.9304 | 2800 | 0.8799 | -9.8125 | -12.1875 | 0.7207 | 2.4062 | -1504.0 | -1296.0 | 5.2188 | 3.3281 |
| 0.0118 | 3.0351 | 2900 | 0.8372 | -9.625 | -11.875 | 0.7246 | 2.2969 | -1472.0 | -1280.0 | 5.6562 | 3.7812 |
| 0.0094 | 3.1397 | 3000 | 0.9555 | -11.0 | -13.6875 | 0.7090 | 2.6875 | -1656.0 | -1416.0 | 6.0938 | 4.3125 |
| 0.0073 | 3.2444 | 3100 | 0.9687 | -11.375 | -14.125 | 0.7129 | 2.7344 | -1696.0 | -1456.0 | 5.9062 | 4.1875 |
| 0.0104 | 3.3490 | 3200 | 1.0111 | -11.75 | -14.5625 | 0.7070 | 2.8438 | -1744.0 | -1488.0 | 6.1875 | 4.4688 |
| 0.01 | 3.4537 | 3300 | 1.0564 | -12.125 | -15.0625 | 0.7051 | 2.9375 | -1792.0 | -1528.0 | 5.9375 | 4.2188 |
| 0.0089 | 3.5583 | 3400 | 0.9822 | -11.375 | -14.0625 | 0.7051 | 2.7031 | -1696.0 | -1448.0 | 5.875 | 4.2188 |
| 0.0106 | 3.6630 | 3500 | 1.0239 | -11.5625 | -14.375 | 0.7070 | 2.8125 | -1720.0 | -1472.0 | 5.9688 | 4.25 |
| 0.0099 | 3.7677 | 3600 | 1.0668 | -11.9375 | -14.9375 | 0.6973 | 3.0 | -1784.0 | -1512.0 | 6.125 | 4.375 |
| 0.0066 | 3.8723 | 3700 | 1.0938 | -12.75 | -15.875 | 0.7070 | 3.1406 | -1872.0 | -1592.0 | 6.2188 | 4.5312 |
| 0.0081 | 3.9770 | 3800 | 1.0255 | -11.6875 | -14.5625 | 0.7129 | 2.8906 | -1744.0 | -1488.0 | 5.9688 | 4.2812 |
| 0.0035 | 4.0816 | 3900 | 1.1112 | -12.75 | -15.875 | 0.7031 | 3.1406 | -1872.0 | -1592.0 | 6.2188 | 4.5312 |
| 0.002 | 4.1863 | 4000 | 1.1127 | -12.8125 | -16.0 | 0.7051 | 3.1562 | -1888.0 | -1600.0 | 6.1875 | 4.5 |
| 0.0036 | 4.2909 | 4100 | 1.1368 | -13.0 | -16.25 | 0.7031 | 3.25 | -1912.0 | -1616.0 | 6.1875 | 4.4688 |
| 0.0069 | 4.3956 | 4200 | 1.1589 | -13.25 | -16.625 | 0.7070 | 3.3125 | -1944.0 | -1640.0 | 6.2188 | 4.5312 |
| 0.0043 | 4.5003 | 4300 | 1.1756 | -13.4375 | -16.75 | 0.7031 | 3.375 | -1968.0 | -1656.0 | 6.2188 | 4.5312 |
| 0.0091 | 4.6049 | 4400 | 1.1842 | -13.5 | -16.875 | 0.7031 | 3.3906 | -1976.0 | -1664.0 | 6.2188 | 4.5312 |
| 0.0058 | 4.7096 | 4500 | 1.1865 | -13.5 | -16.875 | 0.7051 | 3.3906 | -1976.0 | -1664.0 | 6.2188 | 4.5312 |
| 0.0034 | 4.8142 | 4600 | 1.1880 | -13.5625 | -17.0 | 0.7051 | 3.3906 | -1984.0 | -1672.0 | 6.2188 | 4.5312 |
| 0.006 | 4.9189 | 4700 | 1.1888 | -13.5625 | -17.0 | 0.7070 | 3.4062 | -1984.0 | -1672.0 | 6.2188 | 4.5312 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1
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