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Model: Michnik/jarvis-1b-trained
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2026-06-15 16:54:16 +08:00
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---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: jarvis-1b-trained
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# jarvis-1b-trained
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 7.0674
- eval_runtime: 117.7328
- eval_samples_per_second: 84.938
- eval_steps_per_second: 10.617
- epoch: 0.0003
- step: 100
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
### Framework versions
- Transformers 5.7.0
- Pytorch 2.4.1+cu124
- Datasets 4.8.5
- Tokenizers 0.22.2

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