cls_headline_llama3_v1

mmousavi660/cls_headline_llama3_v1

cls_headline_llama3_v1 is a machine learning model from mmousavi660. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as llama3.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

Access

Public

Updated May 16, 2024

Repo size

336 MB

Likes

Public

Hugging Face

Repo makeup

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At a glance

License: llama3
Access: Public
Created: May 16, 2024
Updated: May 16, 2024
SHA: c910d39c

Base models

meta-llama/Meta-Llama-3-8B-Instruct

Datasets

generator

Model card

From the Hugging Face model README

cls_headline_llama3_v1

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset. It achieves the following results on the evaluation set:

Loss: 0.2376

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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.02	5	0.5809
0.7814	0.04	10	0.4209
0.7814	0.06	15	0.3950
0.3932	0.08	20	0.3830
0.3932	0.1	25	0.3727
0.3726	0.12	30	0.3658
0.3726	0.14	35	0.3597
0.3572	0.16	40	0.3560
0.3572	0.18	45	0.3524
0.3437	0.2	50	0.3493
0.3437	0.22	55	0.3452
0.3404	0.24	60	0.3449
0.3404	0.26	65	0.3427
0.3349	0.28	70	0.3398
0.3349	0.3	75	0.3368
0.3342	0.32	80	0.3350
0.3342	0.34	85	0.3322
0.3316	0.36	90	0.3310
0.3316	0.38	95	0.3290
0.3251	0.4	100	0.3271
0.3251	0.42	105	0.3251
0.3137	0.44	110	0.3251
0.3137	0.46	115	0.3245
0.3216	0.48	120	0.3216
0.3216	0.5	125	0.3204
0.3171	0.52	130	0.3198
0.3171	0.54	135	0.3167
0.3161	0.56	140	0.3153
0.3161	0.58	145	0.3152
0.3176	0.6	150	0.3135
0.3176	0.62	155	0.3123
0.3089	0.64	160	0.3109
0.3089	0.66	165	0.3102
0.3109	0.68	170	0.3094
0.3109	0.7	175	0.3070
0.3058	0.72	180	0.3053
0.3058	0.74	185	0.3030
0.3041	0.76	190	0.3026
0.3041	0.78	195	0.3012
0.2975	0.8	200	0.2988
0.2975	0.82	205	0.2972
0.2861	0.84	210	0.2976
0.2861	0.86	215	0.2956
0.2964	0.88	220	0.2944
0.2964	0.9	225	0.2918
0.2907	0.92	230	0.2899
0.2907	0.94	235	0.2893
0.2861	0.96	240	0.2873
0.2861	0.98	245	0.2870
0.2794	1.0	250	0.2859
0.2794	1.02	255	0.2902
0.251	1.04	260	0.2857
0.251	1.06	265	0.2876
0.2498	1.08	270	0.2837
0.2498	1.1	275	0.2852
0.2445	1.12	280	0.2807
0.2445	1.14	285	0.2809
0.251	1.16	290	0.2806
0.251	1.18	295	0.2818
0.2455	1.2	300	0.2795
0.2455	1.22	305	0.2772
0.2416	1.24	310	0.2775
0.2416	1.26	315	0.2754
0.2463	1.28	320	0.2740
0.2463	1.3	325	0.2740
0.2381	1.32	330	0.2732
0.2381	1.34	335	0.2727
0.2401	1.36	340	0.2714
0.2401	1.38	345	0.2698
0.2426	1.4	350	0.2691
0.2426	1.42	355	0.2671
0.2371	1.44	360	0.2657
0.2371	1.46	365	0.2650
0.2409	1.48	370	0.2646
0.2409	1.5	375	0.2620
0.2386	1.52	380	0.2599
0.2386	1.54	385	0.2592
0.2331	1.56	390	0.2584
0.2331	1.58	395	0.2571
0.2339	1.6	400	0.2554
0.2339	1.62	405	0.2563
0.2295	1.64	410	0.2550
0.2295	1.66	415	0.2527
0.2349	1.68	420	0.2537
0.2349	1.7	425	0.2515
0.2296	1.72	430	0.2514
0.2296	1.74	435	0.2486
0.2288	1.76	440	0.2479
0.2288	1.78	445	0.2478
0.2346	1.8	450	0.2456
0.2346	1.82	455	0.2440
0.227	1.84	460	0.2424
0.227	1.86	465	0.2427
0.2217	1.88	470	0.2410
0.2217	1.9	475	0.2402
0.2203	1.92	480	0.2398
0.2203	1.94	485	0.2406
0.2129	1.96	490	0.2388
0.2129	1.98	495	0.2358
0.2195	2.0	500	0.2376

Framework versions

Transformers 4.35.0.dev0
Pytorch 2.0.1
Datasets 2.19.1
Tokenizers 0.14.1

License: llama3
Created: May 16, 2024
Updated: May 16, 2024