初始化项目，由ModelHub XC社区提供模型

Model: Michnik/jarvis-1b-trained
Source: Original Platform

README.md

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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