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full-train
anthonymeo/full-train
full-train is a feature extraction model from anthonymeo. Use it when you need embeddings to search or compare 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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At a glance
- Task
- Feature Extraction
- Library
- transformers
- License
- other
- Model type
- internlm2
- Access
- Public
- Created
- Sep 22, 2024
- Updated
- Sep 22, 2024
- SHA
- a560675a
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. -->
predict
This model is a fine-tuned version of internlm/internlm2_5-1_8b-chat on the expanded dataset. It achieves the following results on the evaluation set:
- Loss: 0.3829
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3932 | 0.5398 | 100 | 0.3729 |
| 0.235 | 1.0796 | 200 | 0.3673 |
| 0.2243 | 1.6194 | 300 | 0.3492 |
| 0.1416 | 2.1592 | 400 | 0.3768 |
| 0.1247 | 2.6991 | 500 | 0.3841 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Feature Extraction
- Library
- transformers
- Type
- internlm2
- License
- other
- Created
- Sep 22, 2024
- Updated
- Sep 22, 2024