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GoldenSnitch12/Llama-2-7B-32K-Instruct_financial_statement_from_MudassirFayaz
Browse files- README.md +67 -0
- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +3 -0
- runs/Sep03_17-18-02_ee5f65ac47a8/events.out.tfevents.1725383890.ee5f65ac47a8.343.0 +3 -0
- runs/Sep03_17-18-35_ee5f65ac47a8/events.out.tfevents.1725383918.ee5f65ac47a8.343.1 +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +51 -0
- training_args.bin +3 -0
README.md
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---
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base_model: togethercomputer/Llama-2-7B-32K-Instruct
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library_name: peft
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license: llama2
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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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model-index:
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- name: financial_analyst_finetune
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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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# financial_analyst_finetune
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This model is a fine-tuned version of [togethercomputer/Llama-2-7B-32K-Instruct](https://huggingface.co/togethercomputer/Llama-2-7B-32K-Instruct) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0523
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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: 0.0001
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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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- gradient_accumulation_steps: 4
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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: 0.05
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- num_epochs: 2
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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 |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.0548 | 0.6667 | 100 | 0.1204 |
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| 0.0939 | 1.3333 | 200 | 0.0675 |
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| 0.0555 | 2.0 | 300 | 0.0523 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.42.4
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- Pytorch 2.4.0+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "togethercomputer/Llama-2-7B-32K-Instruct",
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"bias": "none",
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"fan_in_fan_out": false,
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"layer_replication": null,
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"loftq_config": {},
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"lora_alpha": 64,
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k_proj",
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"q_proj",
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"v_proj",
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"o_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:cac297fe002797119ad21cb36b63e5b653cf58a9b584647f139b663cfa77d8c8
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size 67143296
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added_tokens.json
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{
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"<pad>": 32000
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}
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runs/Sep03_17-18-02_ee5f65ac47a8/events.out.tfevents.1725383890.ee5f65ac47a8.343.0
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version https://git-lfs.github.com/spec/v1
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size 5799
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runs/Sep03_17-18-35_ee5f65ac47a8/events.out.tfevents.1725383918.ee5f65ac47a8.343.1
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special_tokens_map.json
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tokenizer.json
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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tokenizer_config.json
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"unk_token": "<unk>",
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"use_default_system_prompt": true
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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