Model save
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- generation_config.json +6 -0
README.md
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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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generation_config.json
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{
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"decoder_start_token_id": 3,
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"eos_token_id": 2,
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"pad_token_id": 3,
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"transformers_version": "4.46.0.dev0"
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}
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