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mhtccc/ernie-4-5-0.3B-finance-sft
ernie-4-5-0.3B-finance-sft is a text generation model from mhtccc. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
This model is a fine-tuned version of D:/code/LLaMA-Factory/0.my_code/process/ernie-sentiment-init on the finance_sentiment dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5518 | 0.1 | 250 | 0.5404 |
| 0.6025 | 0.2 | 500 | 0.5480 |
| 0.6125 | 0.3 | 750 | 0.5375 |
| 0.5424 | 0.4 | 1000 | 0.5382 |
| 0.5393 | 0.5 | 1250 | 0.5357 |
| 0.5091 | 0.6 | 1500 | 0.5414 |
| 0.5425 | 0.7 | 1750 | 0.5335 |
| 0.4942 | 0.8 | 2000 | 0.5646 |
| 0.5687 | 0.9 | 2250 | 0.5381 |
| 0.5462 | 1.0 | 2500 | 0.5609 |
| 0.5048 | 1.1 | 2750 | 0.4820 |
| 0.5025 | 1.2 | 3000 | 0.4848 |
| 0.4823 | 1.3 | 3250 | 0.4895 |
| 0.4914 | 1.4 | 3500 | 0.4482 |
| 0.4051 | 1.5 | 3750 | 0.4579 |
| 0.3931 | 1.6 | 4000 | 0.4225 |
| 0.3865 | 1.7 | 4250 | 0.4917 |
| 0.625 | 1.8 | 4500 | 0.4107 |
| 0.3882 | 1.9 | 4750 | 0.4676 |
| 0.2762 | 2.0 | 5000 | 0.4387 |
| 0.4132 | 2.1 | 5250 | 0.4282 |
| 0.527 | 2.2 | 5500 | 0.4122 |
| 0.4196 | 2.3 | 5750 | 0.3563 |
| 0.3263 | 2.4 | 6000 | 0.3680 |
| 0.354 | 2.5 | 6250 | 0.3632 |
| 0.4371 | 2.6 | 6500 | 0.3458 |
| 0.3613 | 2.7 | 6750 | 0.3582 |
| 0.3223 | 2.8 | 7000 | 0.3965 |
| 0.4591 | 2.9 | 7250 | 0.3279 |
| 0.4607 | 3.0 | 7500 | 0.3537 |
| 0.1142 | 3.1 | 7750 | 0.3854 |
| 0.4335 | 3.2 | 8000 | 0.3537 |
| 0.4776 | 3.3 | 8250 | 0.4166 |
| 0.3446 | 3.4 | 8500 | 0.3924 |
| 0.0918 | 3.5 | 8750 | 0.4337 |
| 0.3786 | 3.6 | 9000 | 0.4035 |
| 0.3945 | 3.7 | 9250 | 0.3965 |
| 0.1989 | 3.8 | 9500 | 0.4014 |
| 0.3032 | 3.9 | 9750 | 0.3335 |
| 0.2882 | 4.0 | 10000 | 0.3608 |
| 0.3639 | 4.1 | 10250 | 0.4448 |
| 0.283 | 4.2 | 10500 | 0.4376 |
| 0.2759 | 4.3 | 10750 | 0.4415 |
| 0.4924 | 4.4 | 11000 | 0.4275 |
| 0.3681 | 4.5 | 11250 | 0.4300 |
| 0.2862 | 4.6 | 11500 | 0.4283 |
| 0.2423 | 4.7 | 11750 | 0.4243 |
| 0.0904 | 4.8 | 12000 | 0.4217 |
| 0.2766 | 4.9 | 12250 | 0.4226 |
| 0.3408 | 5.0 | 12500 | 0.4226 |