Model save
Browse files- README.md +65 -0
- all_results.json +15 -0
- eval_results.json +9 -0
- generation_config.json +7 -0
- train_results.json +9 -0
- trainer_state.json +81 -0
README.md
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---
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license: apache-2.0
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base_model: Isotonic/smol_llama-4x220M-MoE
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: smol_llama_x
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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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# smol_llama_x
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This model is a fine-tuned version of [Isotonic/smol_llama-4x220M-MoE](https://huggingface.co/Isotonic/smol_llama-4x220M-MoE) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5906
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- Accuracy: 0.6799
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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: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine_with_restarts
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- lr_scheduler_warmup_ratio: 0.2
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- num_epochs: 4
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 211 | 1.4545 | 0.6908 |
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| No log | 2.0 | 422 | 1.4871 | 0.6881 |
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| 1.4748 | 3.0 | 633 | 1.5353 | 0.6841 |
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| 1.4748 | 4.0 | 844 | 1.5906 | 0.6799 |
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.17.0
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- Tokenizers 0.15.2
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all_results.json
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{
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"epoch": 4.0,
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"eval_accuracy": 0.6798846867100433,
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"eval_loss": 1.5906230211257935,
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"eval_runtime": 69.9412,
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"eval_samples": 1123,
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"eval_samples_per_second": 16.056,
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"eval_steps_per_second": 4.018,
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"total_flos": 2.3279302128697344e+16,
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"train_loss": 1.2069585357232115,
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"train_runtime": 779.6175,
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"train_samples": 842,
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"train_samples_per_second": 4.32,
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"train_steps_per_second": 1.083
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}
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eval_results.json
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{
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"epoch": 4.0,
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"eval_accuracy": 0.6798846867100433,
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"eval_loss": 1.5906230211257935,
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"eval_runtime": 69.9412,
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"eval_samples": 1123,
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"eval_samples_per_second": 16.056,
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"eval_steps_per_second": 4.018
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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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"transformers_version": "4.37.2",
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"use_cache": false
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}
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train_results.json
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{
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"epoch": 4.0,
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"total_flos": 2.3279302128697344e+16,
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"train_loss": 1.2069585357232115,
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"train_runtime": 779.6175,
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"train_samples": 842,
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"train_samples_per_second": 4.32,
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"train_steps_per_second": 1.083
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}
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trainer_state.json
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{
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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}
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