Model save
Browse files- README.md +67 -0
- generation_config.json +6 -0
README.md
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---
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license: apache-2.0
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base_model: Qwen/Qwen2-1.5B
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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: Qwen2-1.5B-stepbasin-books-vN
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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/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/pszemraj/long-generation-tests/runs/ethp25f9)
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# Qwen2-1.5B-stepbasin-books-vN
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This model is a fine-tuned version of [Qwen/Qwen2-1.5B](https://huggingface.co/Qwen/Qwen2-1.5B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.8110
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- Accuracy: 0.4298
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- Num Input Tokens Seen: 44040192
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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: 3e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 80085
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- gradient_accumulation_steps: 32
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- total_train_batch_size: 32
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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_ratio: 0.05
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- num_epochs: 3.0
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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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| 2.7792 | 0.9967 | 28 | 2.8183 | 0.4287 | 14729216 |
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| 2.6971 | 1.9933 | 56 | 2.8112 | 0.4297 | 29458432 |
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| 2.7116 | 2.9900 | 84 | 2.8110 | 0.4298 | 44040192 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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generation_config.json
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{
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"bos_token_id": 151643,
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"eos_token_id": 151643,
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"max_new_tokens": 2048,
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"transformers_version": "4.42.4"
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}
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