AlleSpezza/Qwen-3-8B-Unified-R64-Oversampling at main

Qwen-3-8B-Unified-R64-Oversampling

Ctrl+K

1 contributor

History: 2 commits

AlleSpezza

Upload LoRa adapter model with Rank = 64. Using oversampling technique to tackle the issue of class imbalance.

a03b535 verified about 2 months ago

.gitattributes

1.57 kB

Upload LoRa adapter model with Rank = 64. Using oversampling technique to tackle the issue of class imbalance. about 2 months ago
README.md

5.19 kB

Upload LoRa adapter model with Rank = 64. Using oversampling technique to tackle the issue of class imbalance. about 2 months ago
adapter_config.json

897 Bytes

Upload LoRa adapter model with Rank = 64. Using oversampling technique to tackle the issue of class imbalance. about 2 months ago
adapter_model.safetensors

698 MB
xet

Upload LoRa adapter model with Rank = 64. Using oversampling technique to tackle the issue of class imbalance. about 2 months ago
added_tokens.json

707 Bytes

Upload LoRa adapter model with Rank = 64. Using oversampling technique to tackle the issue of class imbalance. about 2 months ago
chat_template.jinja

4.17 kB

Upload LoRa adapter model with Rank = 64. Using oversampling technique to tackle the issue of class imbalance. about 2 months ago
merges.txt

1.67 MB

Upload LoRa adapter model with Rank = 64. Using oversampling technique to tackle the issue of class imbalance. about 2 months ago
optimizer.pt
Detected Pickle imports (5)
- "torch._utils._rebuild_tensor_v2",
- "torch.FloatStorage",
- "collections.OrderedDict",
- "torch._tensor._rebuild_from_type_v2",
- "torch.Tensor"
How to fix it?
1.4 GB
xet

Upload LoRa adapter model with Rank = 64. Using oversampling technique to tackle the issue of class imbalance. about 2 months ago
rng_state.pth
Detected Pickle imports (7)
- "torch._utils._rebuild_tensor_v2",
- "torch.ByteStorage",
- "numpy.dtype",
- "numpy._core.multiarray._reconstruct",
- "collections.OrderedDict",
- "_codecs.encode",
- "numpy.ndarray"
How to fix it?
14.6 kB
xet

Upload LoRa adapter model with Rank = 64. Using oversampling technique to tackle the issue of class imbalance. about 2 months ago
scheduler.pt
Pickle imports
- No problematic imports detected
What is a pickle import?
1.47 kB
xet

Upload LoRa adapter model with Rank = 64. Using oversampling technique to tackle the issue of class imbalance. about 2 months ago
special_tokens_map.json

613 Bytes

Upload LoRa adapter model with Rank = 64. Using oversampling technique to tackle the issue of class imbalance. about 2 months ago
tokenizer.json

11.4 MB
xet

Upload LoRa adapter model with Rank = 64. Using oversampling technique to tackle the issue of class imbalance. about 2 months ago
tokenizer_config.json

5.4 kB

Upload LoRa adapter model with Rank = 64. Using oversampling technique to tackle the issue of class imbalance. about 2 months ago
trainer_state.json

8.96 kB

Upload LoRa adapter model with Rank = 64. Using oversampling technique to tackle the issue of class imbalance. about 2 months ago
training_args.bin
Detected Pickle imports (10)
- "transformers.training_args.OptimizerNames",
- "torch.device",
- "transformers.trainer_utils.HubStrategy",
- "transformers.trainer_utils.IntervalStrategy",
- "trl.trainer.sft_config.SFTConfig",
- "accelerate.utils.dataclasses.DistributedType",
- "transformers.trainer_utils.SchedulerType",
- "transformers.trainer_pt_utils.AcceleratorConfig",
- "accelerate.state.PartialState",
- "transformers.trainer_utils.SaveStrategy"
How to fix it?
6.1 kB
xet

Upload LoRa adapter model with Rank = 64. Using oversampling technique to tackle the issue of class imbalance. about 2 months ago
vocab.json

2.78 MB

Upload LoRa adapter model with Rank = 64. Using oversampling technique to tackle the issue of class imbalance. about 2 months ago

Detected Pickle imports (5)

Detected Pickle imports (7)

Pickle imports

Detected Pickle imports (10)