Model save
Browse files- README.md +12 -9
- final/README.md +6 -1
- final/adapter_config.json +11 -4
- final/adapter_model.safetensors +1 -1
- final/training_args.bin +1 -1
README.md
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library_name: peft
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base_model: voidful/llm-codec
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tags:
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model-index:
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- name: llm-codec-librispeech
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results: []
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This model is a fine-tuned version of [voidful/llm-codec](https://huggingface.co/voidful/llm-codec) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 8.
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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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- PEFT 0.
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- Transformers 4.57.3
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- Pytorch 2.
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- Datasets 4.
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- Tokenizers 0.22.
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library_name: peft
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base_model: voidful/llm-codec
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tags:
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- base_model:adapter:voidful/llm-codec
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- lora
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- transformers
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pipeline_tag: text-generation
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model-index:
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- name: llm-codec-librispeech
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results: []
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This model is a fine-tuned version of [voidful/llm-codec](https://huggingface.co/voidful/llm-codec) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 8.4274
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:------:|:---------------:|
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| 8.7753 | 1.0 | 35156 | 8.7088 |
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| 8.3352 | 2.0 | 70312 | 8.4871 |
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| 8.376 | 3.0 | 105468 | 8.4274 |
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### Framework versions
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- PEFT 0.18.0
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- Transformers 4.57.3
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- Pytorch 2.9.0+cu129
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- Datasets 4.4.1
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- Tokenizers 0.22.1
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final/README.md
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---
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base_model: voidful/llm-codec
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library_name: peft
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---
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# Model Card for Model ID
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[More Information Needed]
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### Framework versions
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- PEFT 0.
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---
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base_model: voidful/llm-codec
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library_name: peft
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pipeline_tag: text-generation
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tags:
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- base_model:adapter:voidful/llm-codec
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- lora
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- transformers
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---
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# Model Card for Model ID
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[More Information Needed]
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### Framework versions
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- PEFT 0.18.0
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final/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": "voidful/llm-codec",
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"bias": "none",
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"corda_config": null,
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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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": 64,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"gate_proj",
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"k_proj",
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"q_proj",
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"o_proj",
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"v_proj",
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"
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],
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"use_dora": false,
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"use_rslora": false
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}
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{
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"alora_invocation_tokens": null,
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"alpha_pattern": {},
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"arrow_config": null,
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"auto_mapping": null,
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"base_model_name_or_path": "voidful/llm-codec",
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": false,
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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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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"peft_version": "0.18.0",
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"qalora_group_size": 16,
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"r": 64,
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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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"o_proj",
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"k_proj",
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"down_proj",
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"v_proj",
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"up_proj",
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"gate_proj"
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],
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"use_dora": false,
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"use_qalora": false,
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"use_rslora": false
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}
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final/adapter_model.safetensors
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final/training_args.bin
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