metadata

library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-large
tags:
  - generated_from_trainer
model-index:
  - name: answerdotai-ModernBERT-large_20241230-093521
    results: []

answerdotai-ModernBERT-large_20241230-093521

This model is a fine-tuned version of answerdotai/ModernBERT-large on an unknown dataset. It achieves the following results on the evaluation set:

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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email protected]	[email 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1.1673	1.0	2436	0.1657	0.8037	0.9994	0.8909	0.8945	0.8203	0.9993	0.9010	0.9053	0.8287	0.9991	0.9060	0.9106	0.8359	0.9989	0.9101	0.9149	0.8403	0.9987	0.9127	0.9176	0.8450	0.9985	0.9153	0.9203	0.8501	0.9983	0.9183	0.9233	0.8540	0.9981	0.9204	0.9255	0.8574	0.9980	0.9224	0.9275	0.8616	0.9979	0.9247	0.9299	0.8640	0.9979	0.9261	0.9313	0.8666	0.9979	0.9276	0.9328	0.8694	0.9978	0.9291	0.9344	0.8711	0.9976	0.9301	0.9353	0.8732	0.9974	0.9312	0.9364	0.8752	0.9974	0.9323	0.9375	0.8772	0.9974	0.9335	0.9387	0.8786	0.9973	0.9342	0.9394	0.8801	0.9973	0.9350	0.9402	0.8812	0.9971	0.9356	0.9408	0.8824	0.9970	0.9362	0.9414	0.8844	0.9969	0.9373	0.9425	0.8854	0.9967	0.9378	0.9429	0.8861	0.9966	0.9381	0.9433	0.8865	0.9966	0.9383	0.9435	0.8871	0.9966	0.9387	0.9439	0.8883	0.9965	0.9393	0.9445	0.8895	0.9965	0.9400	0.9451	0.8898	0.9965	0.9401	0.9453	0.8913	0.9964	0.9409	0.9461	0.8919	0.9963	0.9412	0.9463	0.8930	0.9961	0.9418	0.9469	0.8940	0.9961	0.9423	0.9474	0.8949	0.9960	0.9427	0.9478	0.8953	0.9959	0.9429	0.9480	0.8961	0.9959	0.9434	0.9484	0.8969	0.9959	0.9438	0.9489	0.8977	0.9958	0.9442	0.9492	0.8981	0.9956	0.9443	0.9494	0.8988	0.9955	0.9447	0.9497	0.8997	0.9954	0.9451	0.9502	0.9006	0.9954	0.9456	0.9506	0.9011	0.9954	0.9459	0.9509	0.9014	0.9954	0.9461	0.9510	0.9023	0.9954	0.9466	0.9515	0.9026	0.9954	0.9467	0.9517	0.9032	0.9954	0.9471	0.9520	0.9036	0.9954	0.9473	0.9522	0.9045	0.9952	0.9477	0.9526	0.9047	0.9950	0.9477	0.9526	0.9053	0.9950	0.9480	0.9529	0.9063	0.9950	0.9486	0.9535	0.9068	0.9950	0.9489	0.9537	0.9076	0.9950	0.9493	0.9541	0.9081	0.9950	0.9495	0.9544	0.9088	0.9950	0.9499	0.9547	0.9089	0.9950	0.9500	0.9548	0.9093	0.9949	0.9502	0.9550	0.9098	0.9949	0.9504	0.9552	0.9103	0.9949	0.9507	0.9555	0.9106	0.9948	0.9508	0.9556	0.9116	0.9948	0.9514	0.9562	0.9120	0.9945	0.9515	0.9562	0.9126	0.9944	0.9517	0.9565	0.9129	0.9941	0.9518	0.9566	0.9135	0.9940	0.9521	0.9568	0.9144	0.9939	0.9525	0.9572	0.9149	0.9939	0.9527	0.9575	0.9152	0.9939	0.9529	0.9577	0.9158	0.9938	0.9532	0.9579	0.9159	0.9936	0.9532	0.9579	0.9169	0.9934	0.9536	0.9583	0.9175	0.9931	0.9538	0.9585	0.9180	0.9931	0.9541	0.9588	0.9188	0.9929	0.9544	0.9591	0.9198	0.9927	0.9549	0.9595	0.9209	0.9926	0.9554	0.9600	0.9216	0.9925	0.9557	0.9603	0.9223	0.9923	0.9560	0.9606	0.9239	0.9923	0.9569	0.9615	0.9247	0.9922	0.9573	0.9618	0.9251	0.9921	0.9575	0.9620	0.9264	0.9919	0.9580	0.9625	0.9272	0.9915	0.9583	0.9628	0.9285	0.9914	0.9589	0.9633	0.9294	0.9911	0.9593	0.9637	0.9306	0.9907	0.9597	0.9641	0.9316	0.9901	0.9599	0.9644	0.9324	0.9894	0.9600	0.9644	0.9338	0.9888	0.9605	0.9649	0.9359	0.9880	0.9612	0.9656	0.9380	0.9871	0.9619	0.9663	0.9407	0.9860	0.9628	0.9671	0.9436	0.9854	0.9640	0.9683	0.9471	0.9839	0.9652	0.9694	0.9521	0.9818	0.9667	0.9708	0.9577	0.9781	0.9678	0.9719	0.9653	0.9709	0.9681	0.9724	0.9751	0.9542	0.9645	0.9697
0.7107	2.0	4872	0.1609	0.9044	0.9943	0.9472	0.9522	0.9147	0.9927	0.9521	0.9570	0.9185	0.9916	0.9536	0.9584	0.9221	0.9911	0.9553	0.9600	0.9244	0.9905	0.9563	0.9610	0.9268	0.9898	0.9572	0.9618	0.9278	0.9895	0.9576	0.9622	0.9293	0.9894	0.9584	0.9629	0.9299	0.9891	0.9586	0.9631	0.9309	0.9889	0.9590	0.9635	0.9314	0.9885	0.9591	0.9637	0.9322	0.9884	0.9595	0.9640	0.9325	0.9884	0.9596	0.9641	0.9328	0.9883	0.9598	0.9643	0.9334	0.9882	0.9600	0.9645	0.9336	0.9882	0.9602	0.9646	0.9341	0.9881	0.9603	0.9648	0.9346	0.9880	0.9606	0.9650	0.9351	0.9880	0.9608	0.9652	0.9354	0.9875	0.9608	0.9652	0.9357	0.9874	0.9608	0.9653	0.9357	0.9873	0.9608	0.9653	0.9359	0.9873	0.9609	0.9654	0.9362	0.9872	0.9610	0.9655	0.9368	0.9871	0.9613	0.9657	0.9370	0.9871	0.9614	0.9658	0.9370	0.9870	0.9614	0.9658	0.9375	0.9870	0.9616	0.9660	0.9378	0.9870	0.9618	0.9662	0.9381	0.9869	0.9619	0.9663	0.9385	0.9869	0.9621	0.9665	0.9388	0.9868	0.9622	0.9666	0.9390	0.9867	0.9623	0.9666	0.9392	0.9866	0.9623	0.9667	0.9393	0.9865	0.9623	0.9667	0.9394	0.9865	0.9624	0.9667	0.9397	0.9865	0.9625	0.9669	0.9397	0.9864	0.9625	0.9668	0.9399	0.9862	0.9625	0.9668	0.9400	0.9862	0.9625	0.9669	0.9400	0.9861	0.9625	0.9669	0.9402	0.9861	0.9626	0.9670	0.9404	0.9860	0.9627	0.9670	0.9407	0.9858	0.9627	0.9671	0.9410	0.9857	0.9628	0.9672	0.9412	0.9856	0.9629	0.9672	0.9415	0.9856	0.9630	0.9674	0.9416	0.9855	0.9630	0.9674	0.9423	0.9854	0.9634	0.9677	0.9424	0.9853	0.9634	0.9677	0.9427	0.9852	0.9634	0.9678	0.9428	0.9850	0.9634	0.9678	0.9430	0.9849	0.9635	0.9678	0.9434	0.9848	0.9636	0.9679	0.9436	0.9847	0.9637	0.9680	0.9436	0.9847	0.9637	0.9680	0.9438	0.9847	0.9638	0.9681	0.9438	0.9846	0.9638	0.9681	0.9442	0.9844	0.9639	0.9682	0.9445	0.9844	0.9640	0.9683	0.9447	0.9843	0.9641	0.9684	0.9449	0.9843	0.9642	0.9685	0.9450	0.9840	0.9641	0.9684	0.9452	0.9838	0.9641	0.9684	0.9452	0.9838	0.9641	0.9684	0.9452	0.9837	0.9641	0.9684	0.9453	0.9834	0.9640	0.9683	0.9453	0.9833	0.9640	0.9683	0.9456	0.9832	0.9641	0.9684	0.9457	0.9832	0.9641	0.9684	0.9458	0.9831	0.9641	0.9684	0.9462	0.9830	0.9642	0.9686	0.9464	0.9829	0.9643	0.9686	0.9467	0.9825	0.9643	0.9686	0.9470	0.9824	0.9644	0.9687	0.9474	0.9822	0.9645	0.9688	0.9477	0.9820	0.9645	0.9689	0.9480	0.9816	0.9645	0.9688	0.9482	0.9815	0.9646	0.9689	0.9484	0.9814	0.9646	0.9689	0.9489	0.9812	0.9648	0.9691	0.9494	0.9807	0.9648	0.9691	0.9496	0.9805	0.9648	0.9691	0.9500	0.9803	0.9649	0.9692	0.9505	0.9800	0.9650	0.9693	0.9511	0.9794	0.9651	0.9694	0.9515	0.9790	0.9651	0.9694	0.9519	0.9787	0.9651	0.9695	0.9525	0.9782	0.9652	0.9696	0.9532	0.9776	0.9653	0.9697	0.9537	0.9772	0.9653	0.9697	0.9545	0.9772	0.9657	0.9701	0.9547	0.9769	0.9657	0.9701	0.9558	0.9763	0.9660	0.9703	0.9568	0.9755	0.9660	0.9704	0.9588	0.9736	0.9662	0.9706	0.9610	0.9712	0.9661	0.9706	0.9640	0.9680	0.9660	0.9706	0.9694	0.9621	0.9657	0.9705
0.2941	2.9991	7305	0.1709	0.9292	0.9890	0.9581	0.9627	0.9339	0.9873	0.9599	0.9644	0.9363	0.9867	0.9608	0.9653	0.9374	0.9866	0.9614	0.9658	0.9379	0.9865	0.9616	0.9660	0.9382	0.9862	0.9616	0.9660	0.9388	0.9859	0.9617	0.9662	0.9393	0.9859	0.9620	0.9664	0.9395	0.9858	0.9621	0.9665	0.9397	0.9857	0.9622	0.9666	0.9400	0.9856	0.9623	0.9667	0.9403	0.9856	0.9624	0.9668	0.9406	0.9855	0.9625	0.9669	0.9407	0.9855	0.9626	0.9670	0.9408	0.9855	0.9626	0.9670	0.9411	0.9855	0.9628	0.9671	0.9414	0.9853	0.9628	0.9672	0.9415	0.9852	0.9628	0.9672	0.9416	0.9850	0.9628	0.9672	0.9416	0.9850	0.9628	0.9672	0.9416	0.9849	0.9628	0.9671	0.9419	0.9849	0.9629	0.9673	0.9421	0.9849	0.9630	0.9674	0.9421	0.9849	0.9630	0.9674	0.9422	0.9846	0.9629	0.9673	0.9422	0.9846	0.9629	0.9673	0.9423	0.9846	0.9629	0.9673	0.9423	0.9845	0.9629	0.9673	0.9424	0.9844	0.9629	0.9673	0.9425	0.9843	0.9629	0.9673	0.9425	0.9843	0.9629	0.9673	0.9428	0.9841	0.9630	0.9674	0.9428	0.9840	0.9630	0.9674	0.9429	0.9839	0.9630	0.9674	0.9431	0.9838	0.9630	0.9674	0.9431	0.9838	0.9631	0.9674	0.9432	0.9837	0.9631	0.9674	0.9432	0.9837	0.9631	0.9674	0.9432	0.9837	0.9631	0.9674	0.9433	0.9836	0.9631	0.9674	0.9433	0.9835	0.9630	0.9674	0.9433	0.9835	0.9630	0.9674	0.9434	0.9834	0.9630	0.9674	0.9435	0.9834	0.9630	0.9674	0.9436	0.9832	0.9630	0.9674	0.9438	0.9832	0.9631	0.9675	0.9438	0.9831	0.9631	0.9675	0.9440	0.9831	0.9632	0.9676	0.9442	0.9831	0.9633	0.9677	0.9445	0.9830	0.9634	0.9678	0.9446	0.9829	0.9634	0.9678	0.9447	0.9829	0.9634	0.9678	0.9448	0.9828	0.9635	0.9678	0.9449	0.9827	0.9635	0.9678	0.9449	0.9827	0.9635	0.9678	0.9450	0.9826	0.9635	0.9678	0.9451	0.9826	0.9635	0.9679	0.9453	0.9826	0.9636	0.9680	0.9456	0.9826	0.9637	0.9681	0.9457	0.9825	0.9637	0.9681	0.9457	0.9825	0.9637	0.9681	0.9459	0.9824	0.9638	0.9682	0.9459	0.9824	0.9638	0.9682	0.9460	0.9824	0.9639	0.9682	0.9461	0.9824	0.9639	0.9683	0.9462	0.9822	0.9639	0.9682	0.9463	0.9822	0.9639	0.9683	0.9464	0.9820	0.9639	0.9682	0.9464	0.9817	0.9637	0.9681	0.9465	0.9817	0.9638	0.9682	0.9466	0.9817	0.9638	0.9682	0.9467	0.9816	0.9639	0.9682	0.9467	0.9816	0.9639	0.9682	0.9468	0.9815	0.9638	0.9682	0.9471	0.9815	0.9640	0.9684	0.9475	0.9815	0.9642	0.9686	0.9476	0.9815	0.9642	0.9686	0.9478	0.9813	0.9643	0.9686	0.9479	0.9812	0.9643	0.9686	0.9479	0.9812	0.9643	0.9686	0.9480	0.9811	0.9643	0.9686	0.9481	0.9809	0.9642	0.9686	0.9484	0.9809	0.9644	0.9687	0.9487	0.9807	0.9644	0.9688	0.9489	0.9806	0.9645	0.9689	0.9492	0.9805	0.9646	0.9689	0.9497	0.9805	0.9648	0.9692	0.9500	0.9801	0.9648	0.9692	0.9502	0.9798	0.9648	0.9691	0.9505	0.9797	0.9649	0.9692	0.9506	0.9794	0.9648	0.9692	0.9509	0.9792	0.9649	0.9693	0.9519	0.9790	0.9653	0.9696	0.9525	0.9782	0.9652	0.9696	0.9536	0.9774	0.9654	0.9697	0.9547	0.9761	0.9653	0.9697	0.9565	0.9745	0.9655	0.9699	0.9615	0.9707	0.9661	0.9706	0.9671	0.9612	0.9642	0.9692

Framework versions

Transformers 4.48.0.dev0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0