martimfasantos
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Model save
Browse files- README.md +58 -0
- all_results.json +9 -0
- generation_config.json +7 -0
- model.safetensors +1 -1
- runs/Jul09_00-15-02_poseidon/events.out.tfevents.1720484148.poseidon.4192800.0 +2 -2
- train_results.json +9 -0
- trainer_state.json +0 -0
README.md
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---
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license: apache-2.0
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base_model: martimfasantos/tinyllama-1.1b-mt-sft-full
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tags:
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- trl
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- dpo
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- generated_from_trainer
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model-index:
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- name: tinyllama-1.1b-mt-dpo-full_LR5e-8_BS16_adamw_3epochs
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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-mt-dpo-full_LR5e-8_BS16_adamw_3epochs
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This model is a fine-tuned version of [martimfasantos/tinyllama-1.1b-mt-sft-full](https://huggingface.co/martimfasantos/tinyllama-1.1b-mt-sft-full) on the None dataset.
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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-08
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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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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 3
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### Training results
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.1.2
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 3.0,
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"total_flos": 0.0,
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"train_loss": 0.6880504754617968,
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"train_runtime": 7518.2292,
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"train_samples": 22202,
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"train_samples_per_second": 8.859,
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"train_steps_per_second": 0.554
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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": "4.41.2"
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}
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model.safetensors
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runs/Jul09_00-15-02_poseidon/events.out.tfevents.1720484148.poseidon.4192800.0
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train_results.json
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{
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"epoch": 3.0,
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"total_flos": 0.0,
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"train_loss": 0.6880504754617968,
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"train_runtime": 7518.2292,
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"train_samples": 22202,
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"train_samples_per_second": 8.859,
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"train_steps_per_second": 0.554
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}
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trainer_state.json
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