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ModelHub XC 1a32e3d730 初始化项目,由ModelHub XC社区提供模型
Model: van-ng/pythia410m-XYZCompany-1000-steps
Source: Original Platform
2026-07-08 05:12:10 +08:00

2.3 KiB

license, base_model, tags, model-index
license base_model tags model-index
apache-2.0 EleutherAI/pythia-410m
generated_from_trainer
name results
pythia410m-XYZCompany-1000-steps

pythia410m-XYZCompany-1000-steps

This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2944

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: 1e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1
  • training_steps: 1000

Training results

Training Loss Epoch Step Validation Loss
0.2939 0.32 50 0.2774
0.2993 0.63 100 0.2531
0.2538 0.95 150 0.2429
0.1829 1.27 200 0.2393
0.187 1.59 250 0.2326
0.1737 1.9 300 0.2308
0.1195 2.22 350 0.2405
0.1263 2.54 400 0.2392
0.1248 2.86 450 0.2374
0.069 3.17 500 0.2545
0.08 3.49 550 0.2530
0.0763 3.81 600 0.2553
0.0532 4.13 650 0.2690
0.0465 4.44 700 0.2727
0.0538 4.76 750 0.2734
0.037 5.08 800 0.2834
0.0334 5.4 850 0.2859
0.0299 5.71 900 0.2872
0.0318 6.03 950 0.2906
0.0256 6.35 1000 0.2944

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.1.2
  • Datasets 2.17.1
  • Tokenizers 0.13.2