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smollm_1_7B_ultrachat_v2_coll – AI Model by yakazimir | AlphaNeural AI
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smollm_1_7B_ultrachat_v2_coll
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transformers
safetensors
llama
text-generation
alignment-handbook
trl
sft
generated_from_trainer
conversational
HuggingFaceTB/SmolLM2-1.7B
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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HuggingFaceTB/SmolLM2-1.7B
This model is a fine-tuned version of
HuggingFaceTB/SmolLM2-1.7B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.1131
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: 5e-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 256
total_eval_batch_size: 64
optimizer: Use 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_ratio: 0.05
num_epochs: 1.0
Training results
Training Loss
Epoch
Step
Validation Loss
1.2087
0.2463
200
1.2089
1.1184
0.4926
400
1.1359
1.114
0.7389
600
1.1164
1.1017
0.9852
800
1.1131
Framework versions
Transformers 4.48.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.21.0
