Falcon-CN – AI Model by VikrantRamesh | AlphaNeural AI

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VikrantRamesh/
Falcon-CN

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feature-extraction

generated_from_trainer

tiiuae/falcon-7b

text-generation-inference

endpoints_compatible

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Falcon-CN

This model is a fine-tuned version of tiiuae/falcon-7b on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.2484

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 200

Training results

Training Loss	Epoch	Step	Validation Loss
2.5969	0.24	10	2.5105
2.332	0.49	20	2.4691
2.418	0.73	30	2.4289
2.4031	0.98	40	2.4040
2.3109	1.22	50	2.3807
2.3516	1.46	60	2.3600
2.2906	1.71	70	2.3406
2.3594	1.95	80	2.3265
2.2031	2.2	90	2.3151
2.25	2.44	100	2.3039
2.2148	2.68	110	2.2911
2.2594	2.93	120	2.2803
2.1844	3.17	130	2.2752
2.0914	3.41	140	2.2714
2.2008	3.66	150	2.2624
2.2109	3.9	160	2.2586
2.1648	4.15	170	2.2548
2.1484	4.39	180	2.2535
2.193	4.63	190	2.2484
2.1219	4.88	200	2.2484

Framework versions

Transformers 4.39.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2