Multifaceted Attention Analysis in Llama2 w En & Hi Dolly15k
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Updated
This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on the kpriyanshu256/databricks-dolly-15k-hi dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.6986 | 0.16 | 100 | 0.6539 |
0.6441 | 0.31 | 200 | 0.6297 |
0.6231 | 0.47 | 300 | 0.6146 |
0.6066 | 0.62 | 400 | 0.6020 |
0.5922 | 0.78 | 500 | 0.5930 |
0.6023 | 0.94 | 600 | 0.5847 |
0.5618 | 1.09 | 700 | 0.5792 |
0.5496 | 1.25 | 800 | 0.5742 |
0.5428 | 1.41 | 900 | 0.5699 |
0.5336 | 1.56 | 1000 | 0.5643 |
0.5331 | 1.72 | 1100 | 0.5605 |
0.5255 | 1.88 | 1200 | 0.5574 |
0.5155 | 2.03 | 1300 | 0.5581 |
0.4851 | 2.19 | 1400 | 0.5565 |
0.4831 | 2.34 | 1500 | 0.5563 |
0.489 | 2.5 | 1600 | 0.5545 |
0.4901 | 2.66 | 1700 | 0.5540 |
0.4863 | 2.81 | 1800 | 0.5537 |
0.479 | 2.97 | 1900 | 0.5537 |