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--- |
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license: apache-2.0 |
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base_model: pszemraj/griffin-1024-llama3t-8layer-simplewiki-silu |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: griffin-1024-llama3t-8layer-simplewiki-silu-fineweb-1M_en-med-vN |
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results: [] |
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datasets: |
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- BEE-spoke-data/fineweb-1M_en-med |
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language: |
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- en |
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--- |
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# griffin-llama3t-8L-v0.02-fineweb |
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Pretraining experiment with griffin/recurrent_gemma arch. This one uses the Llama-3 tokenizer. |
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## Model description |
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Further training of [pszemraj/griffin-1024-llama3t-8layer-simplewiki-silu](https://huggingface.co/pszemraj/griffin-1024-llama3t-8layer-simplewiki-silu) on the BEE-spoke-data/fineweb-1M_en-med dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.6538 |
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- Accuracy: 0.1881 |
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- Num Input Tokens Seen: 766509056 |
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## evals |
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tl;dr its bad/would need more training: |
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hf (pretrained=pszemraj/griffin-llama3t-8L-v0.02-fineweb,trust_remote_code=True,dtype=float), gen_kwargs: (None), limit: None, num_fewshot: None, batch_size: 4 |
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| Tasks |Version|Filter|n-shot| Metric | Value | | Stderr | |
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|--------------|------:|------|-----:|----------|----------:|---|---------:| |
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|winogrande | 1|none | 0|acc | 0.4964|± | 0.0141| |
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|piqa | 1|none | 0|acc | 0.5332|± | 0.0116| |
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| | |none | 0|acc_norm | 0.5299|± | 0.0116| |
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|openbookqa | 1|none | 0|acc | 0.1280|± | 0.0150| |
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| | |none | 0|acc_norm | 0.2320|± | 0.0189| |
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|lambada_openai| 1|none | 0|perplexity|638060.0702|± |43608.0044| |
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| | |none | 0|acc | 0.0000|± | 0.0000| |
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|boolq | 2|none | 0|acc | 0.3783|± | 0.0085| |
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|arc_easy | 1|none | 0|acc | 0.2614|± | 0.0090| |
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| | |none | 0|acc_norm | 0.2744|± | 0.0092| |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0003 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 80085 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-07 |
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- lr_scheduler_type: inverse_sqrt |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 1.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Input Tokens Seen | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:-----------------:| |
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| 6.4019 | 0.0684 | 400 | 6.7690 | 0.1278 | 52428800 | |
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| 6.0547 | 0.1368 | 800 | 6.4214 | 0.1460 | 104857600 | |
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| 5.8133 | 0.2052 | 1200 | 6.2566 | 0.1550 | 157286400 | |
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| 5.7212 | 0.2736 | 1600 | 6.1411 | 0.1620 | 209715200 | |
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| 5.6175 | 0.3420 | 2000 | 6.0502 | 0.1669 | 262144000 | |
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| 5.5014 | 0.4104 | 2400 | 5.9827 | 0.1687 | 314572800 | |
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| 5.4882 | 0.4788 | 2800 | 5.9203 | 0.1731 | 367001600 | |
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| 5.3972 | 0.5472 | 3200 | 5.8614 | 0.1782 | 419430400 | |
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| 5.3983 | 0.6156 | 3600 | 5.8340 | 0.1773 | 471859200 | |
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| 5.3175 | 0.6840 | 4000 | 5.7916 | 0.1814 | 524288000 | |
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| 5.3014 | 0.7524 | 4400 | 5.7565 | 0.1814 | 576716800 | |
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| 5.2749 | 0.8208 | 4800 | 5.7303 | 0.1849 | 629145600 | |
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| 5.2264 | 0.8892 | 5200 | 5.6993 | 0.1850 | 681574400 | |
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| 5.2107 | 0.9576 | 5600 | 5.6745 | 0.1884 | 734003200 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
