lm_eval --model hf \ --model_args pretrained=EleutherAI/pythia-160m,revision=step100000,dtype="float" \ --tasks lambada_openai,hellaswag \ --device cuda:0 \ --batch_size 8Models that are loaded via both transformers.AutoModelForCausalLM (autoregressive, decoder-only GPT style models) and...
(iv) the optimal hyperparameters such as learning rate, batch size, maximum training epochs, and dropout rate are tuned for each task and each model separately. We conducted all the experiments on a server with two Intel Xeon E5-2682 v4 CPUs running at 2.50GHz, 120 GB memory, 2 TB HDD ...
"batch_size": null, "batch_sizes": [], "device": "cpu", "no_cache": false, "limit": null, "bootstrap_iters": 100000, "description_dict": {} } } hf-causal (pretrained=lamini/lamini_docs_finetuned), limit: None, provide_description: False, num_fewshot: 0, batch_size: None ...
BatchResponse BehaviorCreateModel BehaviorModel BehaviorReplaceModel BillableCommitter BillableCommitterDetail BillableCommitterDetails BillablePusher BilledCommitter BillingInfo BillingMode BlobCompressionType BlockFilter BlockSubscriptionChannel 委員會 委員會 BoardBadge BoardBadgeColumnOptions BoardCardRuleSettings BoardCar...
RoBERTa-large 73.32% 74.02% batch_size=16, length=128, epoch=3 lr=2e-5 XLNet-mid 70.73% 70.50% batch_size=16, length=128, epoch=3 lr=2e-5 RoBERTa-wwm-ext 74.30% 74.04% batch_size=16, length=128, epoch=3 lr=2e-5 RoBERTa-wwm-large-ext 74.92% 76.55% batch_size=16, length=128...
HREGBATCH structure (Windows) MI_OperationOptions_SetForceFlagPromptUserMode function (Windows) MI_OperationCallback_WriteMessage function pointer (Windows) IMsRdpInputSink::SendMouseWheelEvent method (Windows) C-C++ COM Code Example: Sending Messages Using Multiple-Element Format Names C-C++ Code Examp...
BatchNotificationOperation BatchResponse ZachowanieTworzenie modelu BehaviorModel BehaviorReplaceModel RozliczanyCommitter BillableCommitterDetail BillableCommitterDetails RozliczanyPusher BilledCommitter Informacje o rozliczeniach BillingMode BlobCompressionType BlockFilter BlockSubscriptionChannel Pokładzie Pokładzie ...
QueryBatchGetRequest QueryByPointRequest QueryByRunRequest QueryDeletedOption QueryErrorPolicy QueryExpand QueryFilter QueryHierarchyItem QueryHierarchyItemsResult QueryMembership QueryModel QueryOption QueryParameterEntryValueType QueryParameterValueType QueryRecursionOption QueryResultType QueryTestActionResultRequest Que...
SWEGRU Batch size 256 Learning rate 0.001 Optimizer Adam Training epoch 500 Input size 13 Hidden size 128 Layers number 1 r −5, −4, −3, −2, −1, 0, 0.5 As noted in Section 3.3, when r<1, the construction of the self-weighted loss function was able to improve the pred...
. We use the same frequency domain features as Whisper and an auto-encoder model with 128 hidden states and Sigmoid activation function, which is similar to the auto-encoder model used in Kitsune. For the training of the auto-encoder, we use the Adam optimizer and set the batch size as ...