flan-t5laa-small

This model is a fine-tuned version of hrezaei/flan-t5laa-small on the HuggingFaceFW/fineweb sample-350BT dataset. It achieves the following results on the evaluation set:

• Perplexity: 1.2301
• Loss: 0.2071
• Accuracy: 0.0032
• Lookahead Perplexity: 521.5613
• Lookahead Loss: 6.2568
• Base Perplexity: 1.2138
• Base Loss: 0.1937

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• total_train_batch_size: 32
• total_eval_batch_size: 32
• optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• training_steps: 524288

Training results

Training Loss	Epoch	Step	Perplexity	Validation Loss	Accuracy	Lookahead Perplexity	Lookahead Loss	Base Perplexity	Base Loss
0.6126	0.0095	5000	1.2367	0.2124	0.0032	8068.5739	8.9957	1.2138	0.1937
0.6026	0.0191	10000	1.2345	0.2107	0.0032	3266.5187	8.0915	1.2138	0.1937
0.6282	0.0286	15000	1.2334	0.2098	0.0032	2089.9703	7.6449	1.2138	0.1937
0.6053	0.0381	20000	1.2329	0.2094	0.0032	1657.4587	7.4130	1.2138	0.1937
0.6244	0.0477	25000	1.2326	0.2091	0.0032	1433.9858	7.2682	1.2138	0.1937
0.6301	0.0572	30000	1.2323	0.2089	0.0032	1296.7085	7.1676	1.2138	0.1937
0.6135	0.0668	35000	1.2321	0.2087	0.0032	1204.5739	7.0939	1.2138	0.1937
0.5998	0.0763	40000	1.2320	0.2086	0.0032	1134.1594	7.0336	1.2138	0.1937
0.5972	0.0858	45000	1.2319	0.2085	0.0032	1079.1354	6.9839	1.2138	0.1937
0.5947	0.0954	50000	1.2318	0.2085	0.0032	1038.1346	6.9452	1.2138	0.1937
0.6257	0.1049	55000	1.2317	0.2084	0.0032	1001.9005	6.9097	1.2138	0.1937
0.6075	0.1144	60000	1.2316	0.2083	0.0032	971.3019	6.8786	1.2138	0.1937
0.6094	1.0048	65000	1.2315	0.2083	0.0032	944.4363	6.8506	1.2138	0.1937
0.6082	1.0143	70000	1.2315	0.2082	0.0032	920.2534	6.8246	1.2138	0.1937
0.6047	1.0238	75000	1.2314	0.2082	0.0032	896.8586	6.7989	1.2138	0.1937
0.6081	1.0334	80000	1.2314	0.2081	0.0032	877.9252	6.7776	1.2138	0.1937
0.6175	1.0429	85000	1.2313	0.2081	0.0032	860.2578	6.7572	1.2138	0.1937
0.606	1.0525	90000	1.2313	0.2080	0.0032	844.6464	6.7389	1.2138	0.1937
0.6149	1.0620	95000	1.2312	0.2080	0.0032	828.3173	6.7194	1.2138	0.1937
0.6122	1.0715	100000	1.2312	0.2080	0.0032	813.9770	6.7019	1.2138	0.1937
0.6199	1.0811	105000	1.2311	0.2079	0.0032	799.4303	6.6839	1.2138	0.1937
0.5994	1.0906	110000	1.2311	0.2079	0.0032	786.4358	6.6675	1.2138	0.1937
0.6021	1.1001	115000	1.2311	0.2079	0.0032	775.5390	6.6536	1.2138	0.1937
0.6186	1.1097	120000	1.2310	0.2078	0.0032	764.0533	6.6386	1.2138	0.1937
0.596	1.1192	125000	1.2310	0.2078	0.0032	753.5015	6.6247	1.2138	0.1937
0.6063	2.0095	130000	1.2310	0.2078	0.0032	743.7327	6.6117	1.2138	0.1937
0.5996	2.0191	135000	1.2309	0.2078	0.0032	733.5159	6.5978	1.2138	0.1937
0.6263	2.0286	140000	1.2309	0.2077	0.0032	724.4130	6.5854	1.2138	0.1937
0.6015	2.0381	145000	1.2309	0.2077	0.0032	715.8316	6.5734	1.2138	0.1937
0.6236	2.0477	150000	1.2308	0.2077	0.0032	708.4340	6.5631	1.2138	0.1937
0.6288	2.0572	155000	1.2308	0.2077	0.0032	700.8450	6.5523	1.2138	0.1937
0.6123	2.0668	160000	1.2308	0.2077	0.0032	693.3540	6.5415	1.2138	0.1937
0.5964	2.0763	165000	1.2308	0.2076	0.0032	685.6423	6.5304	1.2138	0.1937
0.5974	2.0858	170000	1.2307	0.2076	0.0032	678.1766	6.5194	1.2138	0.1937
0.5933	2.0954	175000	1.2307	0.2076	0.0032	672.4544	6.5109	1.2138	0.1937
0.6239	2.1049	180000	1.2307	0.2076	0.0032	666.2288	6.5016	1.2138	0.1937
0.6071	2.1144	185000	1.2307	0.2076	0.0032	660.4713	6.4930	1.2138	0.1937
0.6087	3.0048	190000	1.2306	0.2075	0.0032	654.7854	6.4843	1.2138	0.1937
0.6074	3.0143	195000	1.2306	0.2075	0.0032	649.3958	6.4760	1.2138	0.1937
0.6046	3.0238	200000	1.2306	0.2075	0.0032	643.2597	6.4665	1.2138	0.1937
0.6084	3.0334	205000	1.2306	0.2075	0.0032	638.5549	6.4592	1.2138	0.1937
0.614	3.0429	210000	1.2306	0.2075	0.0032	633.8094	6.4517	1.2138	0.1937
0.605	3.0525	215000	1.2305	0.2075	0.0032	629.8567	6.4455	1.2138	0.1937
0.6158	3.0620	220000	1.2305	0.2074	0.0032	624.9755	6.4377	1.2138	0.1937
0.6103	3.0715	225000	1.2305	0.2074	0.0032	620.7078	6.4309	1.2138	0.1937
0.6174	3.0811	230000	1.2305	0.2074	0.0032	615.9860	6.4232	1.2138	0.1937
0.5991	3.0906	235000	1.2305	0.2074	0.0032	611.7069	6.4163	1.2138	0.1937
0.6033	3.1001	240000	1.2305	0.2074	0.0032	608.3681	6.4108	1.2138	0.1937
0.6166	3.1097	245000	1.2305	0.2074	0.0032	604.4235	6.4043	1.2138	0.1937
0.5941	3.1192	250000	1.2304	0.2074	0.0032	600.8208	6.3983	1.2138	0.1937
0.6054	4.0095	255000	1.2304	0.2074	0.0032	597.4248	6.3926	1.2138	0.1937
0.5991	4.0191	260000	1.2304	0.2073	0.0032	593.5735	6.3862	1.2138	0.1937
0.6243	4.0286	265000	1.2304	0.2073	0.0032	590.2097	6.3805	1.2138	0.1937
0.6023	4.0381	270000	1.2304	0.2073	0.0032	586.9999	6.3750	1.2138	0.1937
0.6215	4.0477	275000	1.2304	0.2073	0.0032	584.3271	6.3705	1.2138	0.1937
0.6266	4.0572	280000	1.2304	0.2073	0.0032	581.6015	6.3658	1.2138	0.1937
0.6115	4.0668	285000	1.2303	0.2073	0.0032	578.7785	6.3609	1.2138	0.1937
0.5971	4.0763	290000	1.2303	0.2073	0.0032	575.7152	6.3556	1.2138	0.1937
0.5976	4.0858	295000	1.2303	0.2073	0.0032	572.6544	6.3503	1.2138	0.1937
0.594	4.0954	300000	1.2303	0.2073	0.0032	570.5147	6.3465	1.2138	0.1937
0.6216	4.1049	305000	1.2303	0.2073	0.0032	568.0579	6.3422	1.2138	0.1937
0.6069	4.1144	310000	1.2303	0.2073	0.0032	565.8226	6.3383	1.2138	0.1937
0.6083	5.0048	315000	1.2303	0.2072	0.0032	563.5451	6.3342	1.2138	0.1937
0.6077	5.0143	320000	1.2303	0.2072	0.0032	561.3008	6.3303	1.2138	0.1937
0.6048	5.0238	325000	1.2303	0.2072	0.0032	558.7242	6.3257	1.2138	0.1937
0.6075	5.0334	330000	1.2303	0.2072	0.0032	556.8461	6.3223	1.2138	0.1937
0.6143	5.0429	335000	1.2302	0.2072	0.0032	554.9196	6.3188	1.2138	0.1937
0.6055	5.0525	340000	1.2302	0.2072	0.0032	553.4305	6.3161	1.2138	0.1937
0.6154	5.0620	345000	1.2302	0.2072	0.0032	551.4133	6.3125	1.2138	0.1937
0.6104	5.0715	350000	1.2302	0.2072	0.0032	549.7351	6.3094	1.2138	0.1937
0.6214	5.0811	355000	1.2302	0.2072	0.0032	547.6832	6.3057	1.2138	0.1937
0.6011	5.0906	360000	1.2302	0.2072	0.0032	545.9130	6.3025	1.2138	0.1937
0.6025	5.1001	365000	1.2302	0.2072	0.0032	544.6638	6.3002	1.2138	0.1937
0.616	5.1097	370000	1.2302	0.2072	0.0032	543.0777	6.2973	1.2138	0.1937
0.5951	5.1192	375000	1.2302	0.2072	0.0032	541.6890	6.2947	1.2138	0.1937
0.6068	6.0095	380000	1.2302	0.2072	0.0032	540.3254	6.2922	1.2138	0.1937
0.5974	6.0191	385000	1.2302	0.2072	0.0032	538.8241	6.2894	1.2138	0.1937
0.6267	6.0286	390000	1.2302	0.2072	0.0032	537.5214	6.2870	1.2138	0.1937
0.5994	6.0381	395000	1.2302	0.2071	0.0032	536.2929	6.2847	1.2138	0.1937
0.6225	6.0477	400000	1.2302	0.2071	0.0032	535.2460	6.2827	1.2138	0.1937
0.629	6.0572	405000	1.2302	0.2071	0.0032	534.2133	6.2808	1.2138	0.1937
0.6107	6.0668	410000	1.2301	0.2071	0.0032	533.1691	6.2788	1.2138	0.1937
0.5961	6.0763	415000	1.2301	0.2071	0.0032	532.0580	6.2768	1.2138	0.1937
0.5962	6.0858	420000	1.2301	0.2071	0.0032	530.9045	6.2746	1.2138	0.1937
0.5928	6.0954	425000	1.2301	0.2071	0.0032	530.1710	6.2732	1.2138	0.1937
0.6228	6.1049	430000	1.2301	0.2071	0.0032	529.3049	6.2716	1.2138	0.1937
0.6064	6.1144	435000	1.2301	0.2071	0.0032	528.5336	6.2701	1.2138	0.1937
0.608	7.0048	440000	1.2301	0.2071	0.0032	527.7939	6.2687	1.2138	0.1937
0.6074	7.0143	445000	1.2301	0.2071	0.0032	527.0764	6.2673	1.2138	0.1937
0.6062	7.0238	450000	1.2301	0.2071	0.0032	526.2217	6.2657	1.2138	0.1937
0.6076	7.0334	455000	1.2301	0.2071	0.0032	525.6428	6.2646	1.2138	0.1937
0.6147	7.0429	460000	1.2301	0.2071	0.0032	525.0607	6.2635	1.2138	0.1937
0.6053	7.0525	465000	1.2301	0.2071	0.0032	524.6511	6.2627	1.2138	0.1937
0.6144	7.0620	470000	1.2301	0.2071	0.0032	524.1066	6.2617	1.2138	0.1937
0.6112	7.0715	475000	1.2301	0.2071	0.0032	523.6863	6.2609	1.2138	0.1937
0.6218	7.0811	480000	1.2301	0.2071	0.0032	523.2272	6.2600	1.2138	0.1937
0.5981	7.0906	485000	1.2301	0.2071	0.0032	522.8427	6.2593	1.2138	0.1937
0.6033	7.1001	490000	1.2301	0.2071	0.0032	522.6008	6.2588	1.2138	0.1937
0.6172	7.1097	495000	1.2301	0.2071	0.0032	522.3052	6.2583	1.2138	0.1937
0.5926	7.1192	500000	1.2301	0.2071	0.0032	522.0964	6.2579	1.2138	0.1937
0.608	8.0095	505000	1.2301	0.2071	0.0032	521.9141	6.2575	1.2138	0.1937
0.5975	8.0191	510000	1.2301	0.2071	0.0032	521.7486	6.2572	1.2138	0.1937
0.6248	8.0286	515000	1.2301	0.2071	0.0032	521.6438	6.2570	1.2138	0.1937
0.6013	8.0381	520000	1.2301	0.2071	0.0032	521.5793	6.2569	1.2138	0.1937

Framework versions

• Transformers 4.57.0.dev0
• Pytorch 2.8.0+cu128
• Datasets 4.2.0
• Tokenizers 0.22.1