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llama3b-real-and-synthetic-sftsd2
jkazdan/llama3b-real-and-synthetic-sftsd2
llama3b-real-and-synthetic-sftsd2 is a machine learning model from jkazdan. 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 llama3.2.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- llama3.2
- Model type
- llama
- Access
- Public
- Created
- Oct 23, 2024
- Updated
- Oct 23, 2024
- SHA
- 45fa3d68
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. -->
llama-gsm-real-and-synthetic-sftsd2
This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9739
- Num Input Tokens Seen: 3582416
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: 8e-06
- train_batch_size: 8
- eval_batch_size: 16
- seed: 2
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|---|---|---|---|---|
| No log | 0 | 0 | 1.5881 | 0 |
| 1.2436 | 0.0429 | 5 | 1.4398 | 152424 |
| 1.0386 | 0.0857 | 10 | 1.2453 | 312080 |
| 0.9477 | 0.1286 | 15 | 1.1613 | 467744 |
| 0.9171 | 0.1715 | 20 | 1.1153 | 624840 |
| 0.9103 | 0.2144 | 25 | 1.0952 | 780224 |
| 0.8238 | 0.2572 | 30 | 1.0748 | 936608 |
| 0.8472 | 0.3001 | 35 | 1.0563 | 1092128 |
| 0.8196 | 0.3430 | 40 | 1.0417 | 1250736 |
| 0.7769 | 0.3859 | 45 | 1.0217 | 1400344 |
| 0.7825 | 0.4287 | 50 | 1.0084 | 1552728 |
| 0.768 | 0.4716 | 55 | 1.0008 | 1700648 |
| 0.7492 | 0.5145 | 60 | 0.9968 | 1850360 |
| 0.8147 | 0.5573 | 65 | 0.9917 | 2002688 |
| 0.766 | 0.6002 | 70 | 0.9894 | 2161608 |
| 0.7926 | 0.6431 | 75 | 0.9865 | 2318744 |
| 0.7766 | 0.6860 | 80 | 0.9862 | 2477088 |
| 0.7827 | 0.7288 | 85 | 0.9799 | 2632344 |
| 0.7605 | 0.7717 | 90 | 0.9819 | 2784768 |
| 0.7443 | 0.8146 | 95 | 0.9775 | 2938072 |
| 0.7146 | 0.8574 | 100 | 0.9778 | 3095408 |
| 0.7503 | 0.9003 | 105 | 0.9770 | 3250064 |
| 0.7265 | 0.9432 | 110 | 0.9759 | 3400968 |
| 0.8001 | 0.9861 | 115 | 0.9747 | 3553016 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- llama
- License
- llama3.2
- Created
- Oct 23, 2024
- Updated
- Oct 23, 2024