Ai-Marshal
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Ai-Marshal/Mistral-7B-v0.2-Sentiment-12k-20240403
Browse files- README.md +69 -0
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- runs/Apr03_06-01-30_034ac419a27f/events.out.tfevents.1712124158.034ac419a27f +3 -0
- runs/Apr03_06-08-34_034ac419a27f/events.out.tfevents.1712124524.034ac419a27f +3 -0
- runs/Apr03_06-13-42_034ac419a27f/events.out.tfevents.1712124836.034ac419a27f +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +43 -0
- training_args.bin +3 -0
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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- sft
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- generated_from_trainer
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base_model: mistralai/Mistral-7B-Instruct-v0.2
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datasets:
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- generator
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model-index:
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- name: mistral-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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# mistral-finetune
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3252
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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: 2.5e-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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 0.03
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- num_epochs: 5
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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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| 0.3784 | 1.0 | 201 | 0.3443 |
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| 0.3315 | 2.0 | 402 | 0.3313 |
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| 0.3043 | 3.0 | 603 | 0.3252 |
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| 0.3079 | 4.0 | 804 | 0.3236 |
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| 0.2966 | 5.0 | 1005 | 0.3252 |
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### Framework versions
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- PEFT 0.10.1.dev0
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- Transformers 4.38.2
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- Pytorch 2.1.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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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": null,
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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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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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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": 64,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"down_proj",
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"o_proj",
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"q_proj",
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"gate_proj",
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"up_proj",
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"k_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 sha256:89c536f49654e160a6a2e420e37884fc4f989a7e8828afec886b4536b62b755f
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size 671172016
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runs/Apr03_06-01-30_034ac419a27f/events.out.tfevents.1712124158.034ac419a27f
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version https://git-lfs.github.com/spec/v1
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oid sha256:83611ffa968de095f360336883b2781ed2cc5ae1a55f4965501e10a0b3f6c46f
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size 9974
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runs/Apr03_06-08-34_034ac419a27f/events.out.tfevents.1712124524.034ac419a27f
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version https://git-lfs.github.com/spec/v1
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oid sha256:fb825133eb6fb1ba32e9c0894d0d8c2fec9b14233bc9ba079874cad0da241c4c
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size 5007
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runs/Apr03_06-13-42_034ac419a27f/events.out.tfevents.1712124836.034ac419a27f
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version https://git-lfs.github.com/spec/v1
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oid sha256:a9bcad1aea21d3c175873d65c3dec0f889e8523a80151d4c137a2ade99786d96
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size 27768
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "</s>",
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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See raw diff
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [],
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"bos_token": "<s>",
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"chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": true,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "</s>",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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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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oid sha256:fae125e876b3645a1cc939ff58e916687103db357bd72906dfdd16e46c643b2f
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size 4920
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