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Lemoooon
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LexMatcher_13B

Text Generation
Transformers
PyTorch
llama
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
lemonzeng commited on
Commit
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model

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Files changed (12) hide show
  1. README.md +56 -0
  2. all_results.json +9 -0
  3. config.json +26 -0
  4. generation_config.json +9 -0
  5. pytorch_model.bin +3 -0
  6. special_tokens_map.json +6 -0
  7. tokenizer.json +0 -0
  8. tokenizer.model +3 -0
  9. tokenizer_config.json +33 -0
  10. train_results.json +9 -0
  11. trainer_state.json +618 -0
  12. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: flashatt1_llama213B_yyj_deruzh.shot3.highcomet_-1.0
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+ results: []
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+ ---
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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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+
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+ # flashatt1_llama213B_yyj_deruzh.shot3.highcomet_-1.0
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+
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+ This model is a fine-tuned version of [/mnt/nanjing3cephfs/pr-others-prctrans/lemonzeng/search/mGPT/models/llama-2-13b](https://huggingface.co//mnt/nanjing3cephfs/pr-others-prctrans/lemonzeng/search/mGPT/models/llama-2-13b) on the None dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 4
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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: 128
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+ - total_eval_batch_size: 64
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+ - optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.03
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+ - num_epochs: 1.0
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.28.0
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+ - Pytorch 1.13.1
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+ - Datasets 2.14.0
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+ - Tokenizers 0.13.3
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