mhenrichsen
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Browse files- README.md +78 -0
- checkpoint-29/config.json +27 -0
- checkpoint-29/generation_config.json +7 -0
- checkpoint-29/model.safetensors +3 -0
- checkpoint-29/optimizer.pt +3 -0
- checkpoint-29/rng_state.pth +3 -0
- checkpoint-29/scheduler.pt +3 -0
- checkpoint-29/trainer_state.json +241 -0
- checkpoint-29/training_args.bin +3 -0
- checkpoint-59/config.json +27 -0
- checkpoint-59/generation_config.json +7 -0
- checkpoint-59/model.safetensors +3 -0
- checkpoint-59/optimizer.pt +3 -0
- checkpoint-59/rng_state.pth +3 -0
- checkpoint-59/scheduler.pt +3 -0
- checkpoint-59/trainer_state.json +469 -0
- checkpoint-59/training_args.bin +3 -0
- checkpoint-87/config.json +27 -0
- checkpoint-87/generation_config.json +7 -0
- checkpoint-87/model.safetensors +3 -0
- checkpoint-87/optimizer.pt +3 -0
- checkpoint-87/rng_state.pth +3 -0
- checkpoint-87/scheduler.pt +3 -0
- checkpoint-87/trainer_state.json +685 -0
- checkpoint-87/training_args.bin +3 -0
- config.json +27 -0
- generation_config.json +7 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +24 -0
- tokenizer.model +3 -0
- tokenizer_config.json +44 -0
README.md
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---
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license: apache-2.0
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base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-955k-token-2T
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tags:
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- generated_from_trainer
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model-index:
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- name: storage/tiny
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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# storage/tiny
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This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-955k-token-2T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-955k-token-2T) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0598
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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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: 0.0002
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 10
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.9849 | 0.03 | 1 | 2.0811 |
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| 1.3107 | 0.17 | 5 | 1.1992 |
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| 0.6399 | 0.34 | 10 | 0.6359 |
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| 0.2779 | 0.51 | 15 | 0.2862 |
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| 0.1807 | 0.68 | 20 | 0.1634 |
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| 0.1256 | 0.85 | 25 | 0.1177 |
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| 0.097 | 1.0 | 30 | 0.0891 |
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| 0.1063 | 1.17 | 35 | 0.0734 |
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| 0.0769 | 1.34 | 40 | 0.0723 |
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| 0.0694 | 1.51 | 45 | 0.0633 |
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| 0.0687 | 1.69 | 50 | 0.0624 |
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| 0.0575 | 1.86 | 55 | 0.0622 |
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| 0.0516 | 2.01 | 60 | 0.0609 |
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| 0.0582 | 2.18 | 65 | 0.0603 |
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| 0.0611 | 2.35 | 70 | 0.0600 |
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| 0.0515 | 2.52 | 75 | 0.0598 |
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| 0.0704 | 2.69 | 80 | 0.0598 |
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| 0.0525 | 2.86 | 85 | 0.0598 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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checkpoint-29/config.json
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{
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"_name_or_path": "TinyLlama/TinyLlama-1.1B-intermediate-step-955k-token-2T",
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"architectures": [
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"max_position_embeddings": 8192,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 22,
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"num_key_value_heads": 4,
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"transformers_version": "4.35.2",
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"use_cache": false,
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"vocab_size": 32000
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}
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checkpoint-29/generation_config.json
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checkpoint-29/model.safetensors
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