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NeuralFinGPT-v1-10

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Files changed (6) hide show
  1. README.md +13 -7
  2. adapter_config.json +2 -2
  3. adapter_model.safetensors +1 -1
  4. runs/May18_17-42-10_d12b2465ac42/events.out.tfevents.1716054148.d12b2465ac42.192.0 +3 -0
  5. tokenizer_config.json +2 -2
  6. training_args.bin +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4749
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  ## Model description
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@@ -46,22 +46,28 @@ The following hyperparameters were used during training:
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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: 0.03
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- - num_epochs: 4
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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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- | No log | 0.9560 | 19 | 1.6374 |
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- | 1.8305 | 1.9623 | 39 | 1.5187 |
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- | 1.5255 | 2.9686 | 59 | 1.4809 |
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- | 1.4653 | 3.8239 | 76 | 1.4749 |
 
 
 
 
 
 
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  ### Framework versions
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- - PEFT 0.10.0
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  - Transformers 4.40.2
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.19.1
 
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  This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1291
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  ## Model description
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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: 0.03
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+ - num_epochs: 10
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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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+ | No log | 0.9560 | 19 | 1.6214 |
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+ | 1.8609 | 1.9623 | 39 | 1.4791 |
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+ | 1.5247 | 2.9686 | 59 | 1.3896 |
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+ | 1.4173 | 3.9748 | 79 | 1.3052 |
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+ | 1.4173 | 4.9811 | 99 | 1.2385 |
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+ | 1.3272 | 5.9874 | 119 | 1.1894 |
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+ | 1.248 | 6.9937 | 139 | 1.1540 |
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+ | 1.2 | 8.0 | 159 | 1.1351 |
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+ | 1.1843 | 8.9560 | 178 | 1.1295 |
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+ | 1.1843 | 9.5597 | 190 | 1.1291 |
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  ### Framework versions
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+ - PEFT 0.11.1
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  - Transformers 4.40.2
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.19.1
adapter_config.json CHANGED
@@ -20,8 +20,8 @@
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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_dora": false,
 
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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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+ "q_proj"
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
adapter_model.safetensors CHANGED
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tokenizer_config.json CHANGED
@@ -1,6 +1,7 @@
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  "added_tokens_decoder": {
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  "0": {
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  "content": "<unk>",
@@ -35,7 +36,6 @@
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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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- "padding_side": "left",
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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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  "sp_model_kwargs": {},
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  "spaces_between_special_tokens": false,
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training_args.bin CHANGED
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