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kevinautomation/Llama-2-7b-hf_project_ask_reddit
Browse files- README.md +28 -29
- adapter_config.json +3 -3
- adapter_model.safetensors +2 -2
- runs/Feb04_01-12-08_6976d1dd0e6d/events.out.tfevents.1707009170.6976d1dd0e6d.804.0 +3 -0
- special_tokens_map.json +3 -3
- tokenizer.json +3 -3
- tokenizer_config.json +3 -4
- training_args.bin +1 -1
README.md
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---
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license: apache-2.0
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library_name: peft
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tags:
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- trl
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- generated_from_trainer
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datasets:
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- generator
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base_model:
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model-index:
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- name: tiny_llama_instruct_generation
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results: []
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# tiny_llama_instruct_generation
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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### Framework versions
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---
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library_name: peft
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tags:
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- trl
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- generated_from_trainer
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datasets:
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- generator
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base_model: NousResearch/Llama-2-7b-hf
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model-index:
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- name: tiny_llama_instruct_generation
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results: []
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# tiny_llama_instruct_generation
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This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8500
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.0445 | 0.01 | 20 | 2.0291 |
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| 1.9813 | 0.01 | 40 | 1.9775 |
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| 1.9752 | 0.02 | 60 | 1.9477 |
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| 1.953 | 0.02 | 80 | 1.8977 |
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| 1.9054 | 0.03 | 100 | 1.8774 |
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| 1.8665 | 0.03 | 120 | 1.8699 |
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| 1.845 | 0.04 | 140 | 1.8648 |
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| 1.8487 | 0.04 | 160 | 1.8626 |
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| 1.8557 | 0.05 | 180 | 1.8604 |
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| 1.8451 | 0.06 | 200 | 1.8589 |
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| 1.8557 | 0.06 | 220 | 1.8578 |
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| 1.7733 | 0.07 | 240 | 1.8570 |
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| 1.8652 | 0.07 | 260 | 1.8562 |
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| 1.8178 | 0.08 | 280 | 1.8552 |
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| 1.8102 | 0.08 | 300 | 1.8546 |
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| 1.8275 | 0.09 | 320 | 1.8541 |
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| 1.8405 | 0.1 | 340 | 1.8533 |
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| 1.8319 | 0.1 | 360 | 1.8530 |
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| 1.8411 | 0.11 | 380 | 1.8526 |
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| 1.8562 | 0.11 | 400 | 1.8520 |
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| 1.8505 | 0.12 | 420 | 1.8516 |
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| 1.8132 | 0.12 | 440 | 1.8514 |
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| 1.901 | 0.13 | 460 | 1.8509 |
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| 1.8138 | 0.13 | 480 | 1.8506 |
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| 1.8209 | 0.14 | 500 | 1.8500 |
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### Framework versions
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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": "
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"task_type": "CAUSAL_LM",
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"use_rslora": false
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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": "NousResearch/Llama-2-7b-hf",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_rslora": false
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adapter_model.safetensors
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runs/Feb04_01-12-08_6976d1dd0e6d/events.out.tfevents.1707009170.6976d1dd0e6d.804.0
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special_tokens_map.json
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized":
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"rstrip": false,
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"unk_token": {
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"bos_token": {
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"eos_token": {
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tokenizer.json
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"special": true
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"single_word": false,
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tokenizer_config.json
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"model_max_length": 1000000000000000019884624838656,
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"sp_model_kwargs": {},
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"unk_token": "<unk>",
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"0": {
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"1": {
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training_args.bin
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