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T-lite-it-1.0-pseudo-base
RefalMachine/T-lite-it-1.0-pseudo-base
T-lite-it-1.0-pseudo-base is a text generation model from RefalMachine. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- qwen2
- Access
- Public
- Created
- Jan 30, 2025
- Updated
- Jan 30, 2025
- SHA
- 2f6dc51c
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Base models
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. -->
t-lite_part1-2_lr1e4_wsd_bs128
This model is a fine-tuned version of t-tech/T-lite-it-1.0 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3980
- Accuracy: 0.6669
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: 0.0001
- seed: 42
- distributed_type: multi-GPU
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
- lr_scheduler_type: warmup_stable_decay
- lr_scheduler_warmup_steps: 100
- num_epochs: 0.5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.0001 | 1 | 1.4751 | 0.6606 |
| 1.5071 | 0.0354 | 500 | 1.4113 | 0.6647 |
| 1.5003 | 0.0709 | 1000 | 1.4080 | 0.6649 |
| 1.4959 | 0.1063 | 1500 | 1.4063 | 0.6654 |
| 1.5019 | 0.1418 | 2000 | 1.4054 | 0.6655 |
| 1.4891 | 0.1772 | 2500 | 1.4047 | 0.6656 |
| 1.4916 | 0.2126 | 3000 | 1.4040 | 0.6657 |
| 1.496 | 0.2481 | 3500 | 1.4034 | 0.6657 |
| 1.495 | 0.2835 | 4000 | 1.4032 | 0.6657 |
| 1.4934 | 0.3189 | 4500 | 1.4030 | 0.6658 |
| 1.4849 | 0.3544 | 5000 | 1.4029 | 0.6660 |
| 1.4833 | 0.3898 | 5500 | 1.4024 | 0.6661 |
| 1.4909 | 0.4253 | 6000 | 1.4023 | 0.6661 |
| 1.4923 | 0.4607 | 6500 | 1.4000 | 0.6665 |
| 1.4965 | 0.4961 | 7000 | 1.3979 | 0.6669 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.3.0a0+6ddf5cf85e.nv24.04
- Datasets 2.18.0
- Tokenizers 0.20.3
- Task
- Text Generation
- Library
- transformers
- Type
- qwen2
- Created
- Jan 30, 2025
- Updated
- Jan 30, 2025