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End of training

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: tiiuae/falcon-40b
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: PointCon-falcon-40b-2
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+ results: []
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+ ---
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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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+
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+ # PointCon-falcon-40b-2
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+
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+ This model is a fine-tuned version of [tiiuae/falcon-40b](https://huggingface.co/tiiuae/falcon-40b) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.8131
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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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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+ - num_epochs: 3
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.9879 | 0.26 | 30 | 1.9850 |
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+ | 1.9725 | 0.53 | 60 | 1.9057 |
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+ | 1.8858 | 0.79 | 90 | 1.8573 |
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+ | 1.8604 | 1.05 | 120 | 1.8330 |
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+ | 1.7798 | 1.32 | 150 | 1.8250 |
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+ | 1.7554 | 1.58 | 180 | 1.8169 |
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+ | 1.7917 | 1.84 | 210 | 1.8127 |
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+ | 1.7538 | 2.11 | 240 | 1.8102 |
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+ | 1.6949 | 2.37 | 270 | 1.8133 |
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+ | 1.7112 | 2.63 | 300 | 1.8128 |
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+ | 1.7024 | 2.89 | 330 | 1.8131 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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+ "peft_type": "LORA",
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+ "r": 16,
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+ "target_modules": [
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+ "query_key_value",
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+ "dense",
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+ "dense_h_to_4hdense_4h_to_h"
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+ ],
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+ "task_type": "CAUSAL_LM"
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+ }
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