FrostyZ07/deberta-v3-small-sentiment-amazon

来源：🤗有风险🏴‍☠️ 救援者：isilicontext-classificationmit142M 参数579 MBsafetensors✓ 10 个校验和20 天前更新

评论分享想法，塑造主权 AI 的未来。

@FrostyZ07 尚未认领使用同名 Hugging Face 账户或组织成员账户登录，以验证此用户名。认领 @FrostyZ07

文件与来源

来源可在 🤗 获取

校验和10 个待记录

种子已收录磁力链接

节点群报告 0 个做种者

公开校验和记录将在下次同步时生成

权重

原版

F322.3 GB
8 个文件
last-checkpoint/optimizer.pt 1.1 GBlast-checkpoint/model.safetensors 568 MBmodel.safetensors 568 MBlast-checkpoint/rng_state.pth 14.6 kBlast-checkpoint/training_args.bin 5.9 kBtraining_args.bin 5.9 kBlast-checkpoint/scheduler.pt 1.5 kBlast-checkpoint/scaler.pt 1.4 kB
旧版本磁力链接

模型家族

↑ 微调自 microsoft/deberta-v3-small

deberta-v3-small-sentiment-amazon

This model is a fine-tuned version of microsoft/deberta-v3-small on an unknown dataset. It achieves the following results on the evaluation set:

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	F1 Weighted
0.1399	1.0	6250	0.1379	0.9533	0.9533	0.9533
0.0915	2.0	12500	0.1471	0.9556	0.9556	0.9556
0.0661	3.0	18750	0.1621	0.9560	0.9560	0.9560

权重

原版

F322.3 GB
8 个文件
last-checkpoint/optimizer.pt 1.1 GBlast-checkpoint/model.safetensors 568 MBmodel.safetensors 568 MBlast-checkpoint/rng_state.pth 14.6 kBlast-checkpoint/training_args.bin 5.9 kBtraining_args.bin 5.9 kBlast-checkpoint/scheduler.pt 1.5 kBlast-checkpoint/scaler.pt 1.4 kB
旧版本磁力链接