Model save
Browse files- README.md +69 -0
- all_results.json +9 -0
- generation_config.json +7 -0
- train_results.json +9 -0
- trainer_state.json +751 -0
README.md
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+
---
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library_name: transformers
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license: apache-2.0
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base_model: HuggingFaceTB/SmolLM2-1.7B
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tags:
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- trl
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- sft
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- generated_from_trainer
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datasets:
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- generator
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model-index:
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- name: smollm_1B_ultrachat
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# smollm_1B_ultrachat
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This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-1.7B](https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2975
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 256
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- total_eval_batch_size: 64
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.2996 | 0.4073 | 200 | 1.3281 |
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| 1.2961 | 0.8147 | 400 | 1.2975 |
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### Framework versions
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- Transformers 4.48.3
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- Pytorch 2.2.2+cu121
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- Datasets 2.18.0
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- Tokenizers 0.21.0
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all_results.json
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{
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"epoch": 1.0,
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"total_flos": 154920007237632.0,
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"train_loss": 1.4646558688760047,
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"train_runtime": 2127.1747,
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"train_samples": 207864,
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"train_samples_per_second": 59.07,
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"train_steps_per_second": 0.231
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"pad_token_id": 2,
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"transformers_version": "4.48.3"
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}
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train_results.json
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{
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"epoch": 1.0,
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"total_flos": 154920007237632.0,
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"train_loss": 1.4646558688760047,
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"train_runtime": 2127.1747,
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"train_samples": 207864,
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"train_samples_per_second": 59.07,
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"train_steps_per_second": 0.231
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}
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trainer_state.json
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