Model save
Browse files- README.md +67 -0
- all_results.json +13 -0
- eval_results.json +8 -0
- generation_config.json +7 -0
- model.safetensors +1 -1
- runs/Jan05_21-55-57_12c0322bb846/events.out.tfevents.1704492732.12c0322bb846.2137.0 +2 -2
- runs/Jan05_21-55-57_12c0322bb846/events.out.tfevents.1704530092.12c0322bb846.2137.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +482 -0
README.md
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---
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license: apache-2.0
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base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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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: TinyLlama-1.1B-Chat-v1.0-reasoning-v2
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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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# TinyLlama-1.1B-Chat-v1.0-reasoning-v2
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This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0186
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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: 4e-05
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- train_batch_size: 10
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 10
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- total_train_batch_size: 100
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.0456 | 1.0 | 347 | 1.0360 |
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| 0.9714 | 2.0 | 695 | 1.0180 |
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| 0.9335 | 3.0 | 1042 | 1.0176 |
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| 0.9348 | 3.99 | 1388 | 1.0186 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.15.0
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all_results.json
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{
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"epoch": 3.99,
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"eval_loss": 1.0186352729797363,
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"eval_runtime": 19.987,
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"eval_samples": 1771,
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"eval_samples_per_second": 13.959,
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"eval_steps_per_second": 3.502,
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"train_loss": 0.9866050820185747,
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"train_runtime": 37340.4665,
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"train_samples": 195052,
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"train_samples_per_second": 3.722,
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"train_steps_per_second": 0.037
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}
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eval_results.json
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{
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"epoch": 3.99,
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"eval_loss": 1.0186352729797363,
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"eval_runtime": 19.987,
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"eval_samples": 1771,
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"eval_samples_per_second": 13.959,
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"eval_steps_per_second": 3.502
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}
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generation_config.json
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{
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"bos_token_id": 1,
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"eos_token_id": 2,
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"max_length": 2048,
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"pad_token_id": 0,
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"transformers_version": "4.36.2"
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}
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model.safetensors
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runs/Jan05_21-55-57_12c0322bb846/events.out.tfevents.1704492732.12c0322bb846.2137.0
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train_results.json
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trainer_state.json
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