Model save
Browse files- README.md +53 -53
- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +2362 -0
- training_args.bin +1 -1
README.md
CHANGED
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@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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| 17 |
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| 18 |
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
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| 19 |
It achieves the following results on the evaluation set:
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| 20 |
-
- Loss: 6.7918
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| 21 |
- Accuracy: 0.1930
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## Model description
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| 24 |
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|
@@ -53,58 +53,58 @@ The following hyperparameters were used during training:
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### Training results
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| 55 |
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| 56 |
-
| Training Loss | Epoch | Step | Validation Loss |
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| 57 |
-
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| 58 |
-
| 1.3891 | 1.0 | 529 | 1.3015 |
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| 59 |
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| 1.3633 | 2.0 | 1058 | 1.2855 |
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| 60 |
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| 1.2929 | 3.0 | 1587 | 1.2954 |
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| 61 |
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| 1.2361 | 4.0 | 2116 | 1.3489 |
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| 62 |
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| 1.1856 | 5.0 | 2645 | 1.3968 |
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| 63 |
-
| 1.1098 | 6.0 | 3174 | 1.4721 |
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| 64 |
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| 1.0753 | 7.0 | 3703 | 1.5798 |
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| 65 |
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| 1.0048 | 8.0 | 4232 | 1.6042 |
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| 66 |
-
| 0.9456 | 9.0 | 4761 | 1.6843 |
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| 67 |
-
| 0.8766 | 10.0 | 5290 | 1.7829 |
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| 68 |
-
| 0.8273 | 11.0 | 5819 | 1.8060 |
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| 69 |
-
| 0.7755 | 12.0 | 6348 | 1.8729 |
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| 70 |
-
| 0.715 | 13.0 | 6877 | 1.9620 |
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| 71 |
-
| 0.6804 | 14.0 | 7406 | 2.0030 |
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| 72 |
-
| 0.6277 | 15.0 | 7935 | 2.0528 |
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| 73 |
-
| 0.5733 | 16.0 | 8464 | 2.0475 |
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| 74 |
-
| 0.5409 | 17.0 | 8993 | 2.0920 |
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| 75 |
-
| 0.5024 | 18.0 | 9522 | 2.1207 |
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| 76 |
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| 0.4699 | 19.0 | 10051 | 2.1108 |
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| 77 |
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| 0.4367 | 20.0 | 10580 | 2.1089 |
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| 78 |
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| 0.857 | 21.0 | 11109 | 2.0215 |
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| 79 |
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| 3.7434 | 22.0 | 11638 | 10.1186 |
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| 80 |
-
| 7.7259 | 23.0 | 12167 | 7.5379 |
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| 81 |
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| 4.2204 | 24.0 | 12696 | 2.1568 |
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| 82 |
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| 0.7385 | 25.0 | 13225 | 1.8229 |
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| 83 |
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| 1.1473 | 26.0 | 13754 | 1.7570 |
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| 84 |
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| 2.0182 | 27.0 | 14283 | 1.7293 |
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| 85 |
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| 2.2707 | 28.0 | 14812 | 2.7017 |
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| 86 |
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| 4.1792 | 29.0 | 15341 | 5.8288 |
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| 87 |
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| 7.7703 | 30.0 | 15870 | 7.6619 |
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| 88 |
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| 7.7034 | 31.0 | 16399 | 7.7003 |
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| 7.9533 | 32.0 | 16928 | 7.8667 |
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| 7.8634 | 33.0 | 17457 | 7.8134 |
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| 91 |
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| 7.8584 | 34.0 | 17986 | 7.6760 |
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| 92 |
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| 7.824 | 35.0 | 18515 | 7.7083 |
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| 93 |
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| 7.7446 | 36.0 | 19044 | 7.6626 |
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| 7.6708 | 37.0 | 19573 | 7.5529 |
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| 7.6733 | 38.0 | 20102 | 7.5704 |
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| 96 |
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| 7.6271 | 39.0 | 20631 | 7.5363 |
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| 97 |
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| 7.5886 | 40.0 | 21160 | 7.4684 |
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| 98 |
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| 7.5514 | 41.0 | 21689 | 7.4223 |
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| 99 |
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| 7.5205 | 42.0 | 22218 | 7.3508 |
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| 100 |
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| 7.4577 | 43.0 | 22747 | 7.1785 |
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| 101 |
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| 7.5021 | 44.0 | 23276 | 6.6226 |
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| 102 |
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| 7.1133 | 45.0 | 23805 | 6.4100 |
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| 103 |
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| 6.9682 | 46.0 | 24334 | 6.3553 |
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| 104 |
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| 6.8891 | 47.0 | 24863 | 6.3128 |
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| 105 |
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| 6.8621 | 48.0 | 25392 | 6.2465 |
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| 106 |
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| 6.8176 | 49.0 | 25921 | 6.1966 |
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| 6.9473 | 50.0 | 26450 | 6.7918 |
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| 108 |
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| 109 |
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| 110 |
### Framework versions
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|
| 17 |
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| 18 |
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
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| 19 |
It achieves the following results on the evaluation set:
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| 20 |
- Accuracy: 0.1930
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| 21 |
+
- Loss: 6.7918
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| 22 |
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| 23 |
## Model description
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| 24 |
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| 53 |
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| 54 |
### Training results
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| 55 |
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| Training Loss | Epoch | Step | Accuracy | Validation Loss |
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| 57 |
+
|:-------------:|:-----:|:-----:|:--------:|:---------------:|
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| 58 |
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| 1.3891 | 1.0 | 529 | 0.6138 | 1.3015 |
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| 59 |
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| 1.3633 | 2.0 | 1058 | 0.6166 | 1.2855 |
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| 60 |
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| 1.2929 | 3.0 | 1587 | 0.6177 | 1.2954 |
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| 61 |
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| 1.2361 | 4.0 | 2116 | 0.6045 | 1.3489 |
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| 62 |
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| 1.1856 | 5.0 | 2645 | 0.6125 | 1.3968 |
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| 63 |
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| 1.1098 | 6.0 | 3174 | 0.6115 | 1.4721 |
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| 64 |
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| 1.0753 | 7.0 | 3703 | 0.6076 | 1.5798 |
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| 65 |
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| 1.0048 | 8.0 | 4232 | 0.6084 | 1.6042 |
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| 66 |
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| 0.9456 | 9.0 | 4761 | 0.5977 | 1.6843 |
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| 67 |
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| 0.8766 | 10.0 | 5290 | 0.6051 | 1.7829 |
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| 68 |
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| 0.8273 | 11.0 | 5819 | 0.6043 | 1.8060 |
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| 69 |
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| 0.7755 | 12.0 | 6348 | 0.6019 | 1.8729 |
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| 70 |
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| 0.715 | 13.0 | 6877 | 0.6017 | 1.9620 |
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| 71 |
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| 0.6804 | 14.0 | 7406 | 0.6009 | 2.0030 |
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| 72 |
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| 0.6277 | 15.0 | 7935 | 0.5998 | 2.0528 |
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| 73 |
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| 0.5733 | 16.0 | 8464 | 0.6012 | 2.0475 |
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| 74 |
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| 0.5409 | 17.0 | 8993 | 0.5749 | 2.0920 |
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| 75 |
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| 0.5024 | 18.0 | 9522 | 0.5986 | 2.1207 |
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| 76 |
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| 0.4699 | 19.0 | 10051 | 0.5993 | 2.1108 |
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| 77 |
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| 0.4367 | 20.0 | 10580 | 0.6005 | 2.1089 |
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| 78 |
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| 0.857 | 21.0 | 11109 | 0.5983 | 2.0215 |
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| 79 |
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| 3.7434 | 22.0 | 11638 | 0.2233 | 10.1186 |
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| 80 |
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| 7.7259 | 23.0 | 12167 | 0.1986 | 7.5379 |
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| 81 |
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| 4.2204 | 24.0 | 12696 | 0.5345 | 2.1568 |
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| 82 |
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| 0.7385 | 25.0 | 13225 | 0.5963 | 1.8229 |
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| 83 |
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| 1.1473 | 26.0 | 13754 | 0.5788 | 1.7570 |
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| 84 |
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| 2.0182 | 27.0 | 14283 | 0.5573 | 1.7293 |
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| 85 |
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| 2.2707 | 28.0 | 14812 | 0.4956 | 2.7017 |
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| 86 |
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| 4.1792 | 29.0 | 15341 | 0.3070 | 5.8288 |
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| 87 |
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| 7.7703 | 30.0 | 15870 | 0.1922 | 7.6619 |
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| 88 |
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| 7.7034 | 31.0 | 16399 | 0.1913 | 7.7003 |
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| 89 |
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| 7.9533 | 32.0 | 16928 | 0.1899 | 7.8667 |
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| 90 |
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| 7.8634 | 33.0 | 17457 | 0.1897 | 7.8134 |
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| 91 |
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| 7.8584 | 34.0 | 17986 | 0.1882 | 7.6760 |
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| 92 |
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| 7.824 | 35.0 | 18515 | 0.1888 | 7.7083 |
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| 93 |
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| 7.7446 | 36.0 | 19044 | 0.1888 | 7.6626 |
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| 94 |
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| 7.6708 | 37.0 | 19573 | 0.1886 | 7.5529 |
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| 95 |
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| 7.6733 | 38.0 | 20102 | 0.1903 | 7.5704 |
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| 96 |
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| 7.6271 | 39.0 | 20631 | 0.1949 | 7.5363 |
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| 97 |
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| 7.5886 | 40.0 | 21160 | 0.2130 | 7.4684 |
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| 98 |
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| 7.5514 | 41.0 | 21689 | 0.2077 | 7.4223 |
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| 99 |
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| 7.5205 | 42.0 | 22218 | 0.1946 | 7.3508 |
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| 100 |
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| 7.4577 | 43.0 | 22747 | 0.1951 | 7.1785 |
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| 101 |
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| 7.5021 | 44.0 | 23276 | 0.2092 | 6.6226 |
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| 102 |
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| 7.1133 | 45.0 | 23805 | 0.1994 | 6.4100 |
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| 103 |
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| 6.9682 | 46.0 | 24334 | 0.2250 | 6.3553 |
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| 104 |
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| 6.8891 | 47.0 | 24863 | 0.2224 | 6.3128 |
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| 105 |
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| 6.8621 | 48.0 | 25392 | 0.23 | 6.2465 |
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| 106 |
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| 6.8176 | 49.0 | 25921 | 0.2561 | 6.1966 |
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| 107 |
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| 6.9473 | 50.0 | 26450 | 0.1930 | 6.7918 |
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| 109 |
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### Framework versions
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all_results.json
ADDED
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{
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"epoch": 50.0,
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"train_loss": 4.017823467146472,
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"train_runtime": 26175.2328,
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"train_samples": 16925,
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"train_samples_per_second": 32.33,
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"train_steps_per_second": 1.01
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}
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train_results.json
ADDED
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@@ -0,0 +1,8 @@
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{
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"epoch": 50.0,
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"train_loss": 4.017823467146472,
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"train_runtime": 26175.2328,
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| 5 |
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"train_samples": 16925,
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| 6 |
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"train_samples_per_second": 32.33,
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| 7 |
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"train_steps_per_second": 1.01
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}
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trainer_state.json
ADDED
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@@ -0,0 +1,2362 @@
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