File size: 5,828 Bytes
64c1cb3 889071d 64c1cb3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 |
---
library_name: transformers
tags:
- smallm
- generated_from_trainer
model-index:
- name: smallm_140_rope
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# smallm_140_rope
This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8849
- Num Input Tokens Seen: 7864320000
## 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: 0.0006
- train_batch_size: 64
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Use OptimizerNames.ADAMW_APEX_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 600
- training_steps: 30000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:-----:|:---------------:|:-----------------:|
| 22.7795 | 0.0034 | 500 | 5.5598 | 131072000 |
| 17.4367 | 0.0067 | 1000 | 4.2485 | 262144000 |
| 15.7688 | 0.0101 | 1500 | 3.8666 | 393216000 |
| 14.9894 | 0.0135 | 2000 | 3.6752 | 524288000 |
| 14.5031 | 0.0168 | 2500 | 3.5482 | 655360000 |
| 14.2405 | 0.0202 | 3000 | 3.4691 | 786432000 |
| 13.9742 | 0.0235 | 3500 | 3.4102 | 917504000 |
| 13.7434 | 0.0269 | 4000 | 3.3646 | 1048576000 |
| 13.6039 | 0.0303 | 4500 | 3.3241 | 1179648000 |
| 13.4891 | 0.0336 | 5000 | 3.2917 | 1310720000 |
| 13.3718 | 0.0370 | 5500 | 3.2622 | 1441792000 |
| 13.3443 | 0.0404 | 6000 | 3.2371 | 1572864000 |
| 13.1945 | 0.0437 | 6500 | 3.2159 | 1703936000 |
| 13.0997 | 0.0471 | 7000 | 3.1944 | 1835008000 |
| 13.1213 | 0.0504 | 7500 | 3.1756 | 1966080000 |
| 12.977 | 0.0538 | 8000 | 3.1572 | 2097152000 |
| 12.8892 | 0.0572 | 8500 | 3.1434 | 2228224000 |
| 12.8258 | 0.0605 | 9000 | 3.1286 | 2359296000 |
| 12.8312 | 0.0639 | 9500 | 3.1131 | 2490368000 |
| 12.7303 | 0.0673 | 10000 | 3.1027 | 2621440000 |
| 12.6896 | 0.0706 | 10500 | 3.0884 | 2752512000 |
| 12.6273 | 0.0740 | 11000 | 3.0768 | 2883584000 |
| 12.6166 | 0.0774 | 11500 | 3.0653 | 3014656000 |
| 12.57 | 0.0807 | 12000 | 3.0549 | 3145728000 |
| 12.5742 | 0.0841 | 12500 | 3.0441 | 3276800000 |
| 12.4583 | 0.0874 | 13000 | 3.0347 | 3407872000 |
| 12.4483 | 0.0908 | 13500 | 3.0267 | 3538944000 |
| 12.3991 | 0.0942 | 14000 | 3.0163 | 3670016000 |
| 12.4215 | 0.0975 | 14500 | 3.0072 | 3801088000 |
| 12.367 | 0.1009 | 15000 | 2.9978 | 3932160000 |
| 12.3038 | 0.1043 | 15500 | 2.9913 | 4063232000 |
| 12.2584 | 0.1076 | 16000 | 2.9842 | 4194304000 |
| 12.2762 | 0.1110 | 16500 | 2.9755 | 4325376000 |
| 12.2252 | 0.1144 | 17000 | 2.9685 | 4456448000 |
| 12.2031 | 0.1177 | 17500 | 2.9616 | 4587520000 |
| 12.1477 | 0.1211 | 18000 | 2.9548 | 4718592000 |
| 12.1604 | 0.1244 | 18500 | 2.9489 | 4849664000 |
| 12.0931 | 0.1278 | 19000 | 2.9431 | 4980736000 |
| 12.0719 | 0.1312 | 19500 | 2.9375 | 5111808000 |
| 12.0672 | 0.1345 | 20000 | 2.9316 | 5242880000 |
| 12.0664 | 0.1379 | 20500 | 2.9268 | 5373952000 |
| 12.029 | 0.1413 | 21000 | 2.9219 | 5505024000 |
| 12.0514 | 0.1446 | 21500 | 2.9168 | 5636096000 |
| 12.0284 | 0.1480 | 22000 | 2.9136 | 5767168000 |
| 11.9863 | 0.1513 | 22500 | 2.9087 | 5898240000 |
| 11.9845 | 0.1547 | 23000 | 2.9054 | 6029312000 |
| 11.9285 | 0.1581 | 23500 | 2.9019 | 6160384000 |
| 11.9322 | 0.1614 | 24000 | 2.8988 | 6291456000 |
| 11.9627 | 0.1648 | 24500 | 2.8965 | 6422528000 |
| 11.9144 | 0.1682 | 25000 | 2.8939 | 6553600000 |
| 11.926 | 0.1715 | 25500 | 2.8921 | 6684672000 |
| 11.9298 | 0.1749 | 26000 | 2.8901 | 6815744000 |
| 11.9117 | 0.1783 | 26500 | 2.8888 | 6946816000 |
| 11.945 | 0.1816 | 27000 | 2.8873 | 7077888000 |
| 11.9267 | 0.1850 | 27500 | 2.8867 | 7208960000 |
| 11.9013 | 0.1883 | 28000 | 2.8857 | 7340032000 |
| 11.9102 | 0.1917 | 28500 | 2.8853 | 7471104000 |
| 11.9402 | 0.1951 | 29000 | 2.8851 | 7602176000 |
| 11.9125 | 0.1984 | 29500 | 2.8849 | 7733248000 |
| 11.9242 | 0.2018 | 30000 | 2.8849 | 7864320000 |
### Framework versions
- Transformers 4.50.3
- Pytorch 2.6.0+cu126
- Datasets 3.5.0
- Tokenizers 0.21.1
|