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ondevicellm
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qwen_1_8B_llamafied

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Generated from Trainer
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Files changed (9) hide show
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+ ---
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+ license: other
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+ base_model: KnutJaegersberg/Qwen-1_8B-Llamafied
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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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+ datasets:
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+ - generator
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+ model-index:
11
+ - name: qwen_1_8B_llamafied
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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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+ # qwen_1_8B_llamafied
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+
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+ This model is a fine-tuned version of [KnutJaegersberg/Qwen-1_8B-Llamafied](https://huggingface.co/KnutJaegersberg/Qwen-1_8B-Llamafied) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2486
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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: 2e-05
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+ - train_batch_size: 12
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+ - eval_batch_size: 4
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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: cosine
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+ - lr_scheduler_warmup_steps: 120
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+ - num_epochs: 3
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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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+ | 1.3881 | 0.1 | 100 | 1.3937 |
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+ | 1.28 | 0.6 | 600 | 1.2882 |
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+ | 1.2669 | 0.7 | 700 | 1.2820 |
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+ | 1.2591 | 0.8 | 800 | 1.2768 |
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+ | 1.2447 | 0.9 | 900 | 1.2721 |
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+ | 1.2867 | 1.0 | 1000 | 1.2680 |
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+ | 1.1918 | 1.1 | 1100 | 1.2684 |
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+ | 1.2002 | 1.2 | 1200 | 1.2660 |
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+ | 1.1943 | 1.3 | 1300 | 1.2633 |
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+ | 1.199 | 1.4 | 1400 | 1.2607 |
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+ | 1.1887 | 1.5 | 1500 | 1.2581 |
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+ | 1.1987 | 1.6 | 1600 | 1.2556 |
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+ | 1.1954 | 1.7 | 1700 | 1.2534 |
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+ | 1.1869 | 1.8 | 1800 | 1.2511 |
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+ | 1.1744 | 1.9 | 1900 | 1.2492 |
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+ | 1.1718 | 2.0 | 2000 | 1.2486 |
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+ | 1.1456 | 2.1 | 2100 | 1.2532 |
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+ | 1.1204 | 2.2 | 2200 | 1.2529 |
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+ | 1.1347 | 2.3 | 2300 | 1.2519 |
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+ | 1.1312 | 2.4 | 2400 | 1.2513 |
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+ | 1.1229 | 2.5 | 2500 | 1.2508 |
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+ | 1.1287 | 2.6 | 2600 | 1.2500 |
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+ | 1.139 | 2.8 | 2800 | 1.2498 |
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+ | 1.1282 | 2.9 | 2900 | 1.2497 |
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+
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+
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