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SRP-base-model-training
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gemma_3_2B_base_v1_kk_only_5B-data
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SRP-base-model-training
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Text Generation
TensorBoard
Safetensors
SRP-base-model-training/dataset_04_06_2025
Kazakh
trl
gemma3_text
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xet
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gemma_3_2B_base_v1_kk_only_5B-data
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README.md
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added_tokens.json
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config.json
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generation_config.json
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readme.md
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rng_state_2.pth
pickle
Detected Pickle imports (7)
"collections.OrderedDict"
,
"numpy._core.multiarray._reconstruct"
,
"torch.ByteStorage"
,
"numpy.ndarray"
,
"_codecs.encode"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
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rng_state_3.pth
pickle
Detected Pickle imports (7)
"collections.OrderedDict"
,
"numpy._core.multiarray._reconstruct"
,
"torch.ByteStorage"
,
"numpy.ndarray"
,
"_codecs.encode"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
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16 kB
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rng_state_4.pth
pickle
Detected Pickle imports (7)
"collections.OrderedDict"
,
"numpy._core.multiarray._reconstruct"
,
"torch.ByteStorage"
,
"numpy.ndarray"
,
"_codecs.encode"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
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16 kB
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rng_state_5.pth
pickle
Detected Pickle imports (7)
"collections.OrderedDict"
,
"numpy._core.multiarray._reconstruct"
,
"torch.ByteStorage"
,
"numpy.ndarray"
,
"_codecs.encode"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
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16 kB
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rng_state_6.pth
pickle
Detected Pickle imports (7)
"collections.OrderedDict"
,
"numpy._core.multiarray._reconstruct"
,
"torch.ByteStorage"
,
"numpy.ndarray"
,
"_codecs.encode"
,
"torch._utils._rebuild_tensor_v2"
,
"numpy.dtype"
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special_tokens_map.json
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tokenizer.json
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tokenizer_config.json
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trainer_state.json
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training_args.bin
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Detected Pickle imports (14)
"transformers.trainer_utils.SaveStrategy"
,
"accelerate.state.PartialState"
,
"accelerate.utils.dataclasses.DistributedType"
,
"transformers.integrations.deepspeed.HfTrainerDeepSpeedConfig"
,
"torch.device"
,
"transformers.trainer_pt_utils.AcceleratorConfig"
,
"transformers.integrations.deepspeed.HfDeepSpeedConfig"
,
"accelerate.utils.dataclasses.DeepSpeedPlugin"
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"transformers.training_args.OptimizerNames"
,
"transformers.trainer_utils.HubStrategy"
,
"transformers.trainer_utils.IntervalStrategy"
,
"torch.bfloat16"
,
"transformers.trainer_utils.SchedulerType"
,
"trl.trainer.sft_config.SFTConfig"
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zero_to_fp32.py
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