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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: pszemraj/tFINE-850m-24x24-v0.5-instruct-L1 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: tFINE-850m-24x24-v0.5-instruct-L1-infinity-instruct-7m-T2T_en-1024-v2 |
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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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# tFINE-850m-24x24-v0.5-instruct-L1-infinity-instruct-7m-T2T_en-1024-v2 |
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This model is a fine-tuned version of [pszemraj/tFINE-850m-24x24-v0.5-instruct-L1](https://huggingface.co/pszemraj/tFINE-850m-24x24-v0.5-instruct-L1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2595 |
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- Num Input Tokens Seen: 568955808 |
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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: 3.5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 16 |
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- seed: 17868 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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- optimizer: Use OptimizerNames.PAGED_ADEMAMIX and the args are: |
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No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 1.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |
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|:-------------:|:------:|:----:|:---------------:|:-----------------:| |
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| 1.32 | 0.2527 | 2000 | 1.3214 | 189801824 | |
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| 1.2614 | 0.5053 | 4000 | 1.2815 | 379241088 | |
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| 1.2367 | 0.7580 | 6000 | 1.2595 | 568955808 | |
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### Framework versions |
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- Transformers 4.46.0.dev0 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.1 |
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