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Mistral-7B-Instruct-v0.1-Txt-2-Presto-SQL

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cnatale/Mistral-7B-Instruct-v0.1-Txt-2-Presto-SQL

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Files changed (5) hide show
  1. README.md +8 -8
  2. adapter_config.json +2 -2
  3. adapter_model.safetensors +1 -1
  4. runs/Jan03_04-22-22_543a4a17d0f5/events.out.tfevents.1704255743.543a4a17d0f5.1870.0 +3 -0
  5. training_args.bin +2 -2
README.md CHANGED
@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the generator dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7162
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  ## Model description
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@@ -46,19 +46,19 @@ 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: constant
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  - lr_scheduler_warmup_steps: 0.03
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- - training_steps: 120
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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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- | 1.0447 | 1.54 | 20 | 0.9470 |
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- | 0.7971 | 3.08 | 40 | 0.7493 |
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- | 0.6729 | 4.62 | 60 | 0.6838 |
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- | 0.6072 | 6.15 | 80 | 0.6743 |
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- | 0.5361 | 7.69 | 100 | 0.6896 |
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- | 0.4948 | 9.23 | 120 | 0.7162 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the generator dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.2714
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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: constant
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  - lr_scheduler_warmup_steps: 0.03
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+ - training_steps: 360
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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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+ | 0.6738 | 4.62 | 60 | 0.6807 |
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+ | 0.4764 | 9.23 | 120 | 0.7272 |
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+ | 0.3485 | 13.85 | 180 | 0.8233 |
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+ | 0.2559 | 18.46 | 240 | 0.9627 |
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+ | 0.1664 | 23.08 | 300 | 1.1172 |
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+ | 0.08 | 27.69 | 360 | 1.2714 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -19,8 +19,8 @@
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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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  }
 
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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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  }
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