Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: BEE-spoke-data/tFINE-680m-e32-d16-gqa-1024
+tags:
+- generated_from_trainer
+model-index:
+- name: tFINE-680m-e32-d16-gqa-1024-flan-subsets-deduped-1024
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# tFINE-680m-e32-d16-gqa-1024-flan-subsets-deduped-1024
+
+This model is a fine-tuned version of [BEE-spoke-data/tFINE-680m-e32-d16-gqa-1024](https://huggingface.co/BEE-spoke-data/tFINE-680m-e32-d16-gqa-1024) on an unknown dataset.
+
+## 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: 8e-05
+- train_batch_size: 4
+- eval_batch_size: 2
+- seed: 17868
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 256
+- total_eval_batch_size: 4
+- optimizer: Use paged_ademamix_32bit and the args are:
+No additional optimizer arguments
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 1.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.46.0.dev0
+- Pytorch 2.4.1+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 3,
+  "eos_token_id": 2,
+  "pad_token_id": 3,
+  "transformers_version": "4.46.0.dev0"
+}