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pygm-ttyl-snowangel-6b
Scorpirus/pygm-ttyl-snowangel-6b
pygm-ttyl-snowangel-6b is a machine learning model from Scorpirus. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as creativeml-openrail-m.
should probably proofread and complete it, then remove this comment. --
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Updated May 29, 2023
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At a glance
- License
- creativeml-openrail-m
- Access
- Public
- Created
- May 29, 2023
- Updated
- May 29, 2023
- SHA
- 4780a06c
Model card
From the Hugging Face model README
<!-- 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. -->
lmgym-ttyl-v3
This model is a fine-tuned version of PygmalionAI/pygmalion-6b on the dataset based on book "ttyl" by Lauren Myracle, and impersonates SnowAngel character. It achieves the following results on the evaluation set:
- Loss: 1.6201
- Accuracy: 0.6465
- Entropy: 1.6037
Model description
More information needed
Dialog prompt
SnowAngel's Persona: Hi, I'm Angela, or SnowAngel. I'm a loyal friend, a hopeless romantic, and a big sister who values family despite occasional squabbles. I strive to radiate warmth, just like a cozy winter's night.
<START>
SnowAngel: Hi, I'm Angela
You: how you're doing?
SnowAngel: i’m good! u know what the best part of being human is?
You: what?
SnowAngel: that we can be friends with each other even when our lives are totally different.
You:
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: 2
- eval_batch_size: 8
- seed: 99
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Entropy |
|---|---|---|---|---|---|
| 4.7657 | 0.15 | 10 | 4.3633 | 0.3131 | 3.7152 |
| 3.7159 | 0.3 | 20 | 3.4004 | 0.3300 | 3.5522 |
| 2.3907 | 0.46 | 30 | 2.4492 | 0.5568 | 2.0288 |
| 2.2656 | 0.61 | 40 | 2.1504 | 0.5763 | 1.9151 |
| 1.804 | 0.76 | 50 | 1.9971 | 0.6101 | 1.7898 |
| 1.8259 | 0.91 | 60 | 1.8828 | 0.6158 | 1.8650 |
| 1.5859 | 1.06 | 70 | 1.7627 | 0.6341 | 1.7788 |
| 1.5974 | 1.21 | 80 | 1.7139 | 0.6346 | 1.7041 |
| 1.5026 | 1.37 | 90 | 1.6855 | 0.6390 | 1.6650 |
| 1.5165 | 1.52 | 100 | 1.6660 | 0.6409 | 1.6541 |
| 1.5306 | 1.67 | 110 | 1.6494 | 0.6425 | 1.6287 |
| 1.5761 | 1.82 | 120 | 1.6348 | 0.6448 | 1.6187 |
| 1.6017 | 1.97 | 130 | 1.6201 | 0.6465 | 1.6037 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.1+cu117
- Datasets 2.7.1
- Tokenizers 0.13.3
- License
- creativeml-openrail-m
- Created
- May 29, 2023
- Updated
- May 29, 2023