zlm-fil-ceb_b64_le5_s8000
This model is a fine-tuned version of mikhail-panzo/zlm-fil_b64_le5_s8000 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3939
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- training_steps: 8000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.4592 | 19.8020 | 500 | 0.4253 |
0.4381 | 39.6040 | 1000 | 0.4100 |
0.4281 | 59.4059 | 1500 | 0.4022 |
0.4195 | 79.2079 | 2000 | 0.3988 |
0.4134 | 99.0099 | 2500 | 0.3955 |
0.4049 | 118.8119 | 3000 | 0.3935 |
0.4016 | 138.6139 | 3500 | 0.3931 |
0.3937 | 158.4158 | 4000 | 0.3936 |
0.3953 | 178.2178 | 4500 | 0.3935 |
0.3933 | 198.0198 | 5000 | 0.3936 |
0.3932 | 217.8218 | 5500 | 0.3936 |
0.3884 | 237.6238 | 6000 | 0.3934 |
0.3889 | 257.4257 | 6500 | 0.3926 |
0.3855 | 277.2277 | 7000 | 0.3940 |
0.3892 | 297.0297 | 7500 | 0.3934 |
0.3899 | 316.8317 | 8000 | 0.3939 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Downloads last month
- 2
Inference API (serverless) is not available, repository is disabled.
Model tree for mikhail-panzo/zlm-fil-ceb_b64_le5_s8000
Base model
mikhail-panzo/zlm_b128_le4_s12000
Finetuned
mikhail-panzo/zlm-fil_b64_le5_s8000
Finetuned
this model