Update README.md

README.md

@@ -3,35 +3,24 @@ library_name: transformers
 language:
 - en
 license: apache-2.0
-base_model: BEE-spoke-data/tFINE-900m-e16-d32-flan-infinity-instruct-7m-T2T_en-1024
+base_model: BEE-spoke-data/tFINE-900m-e16-d32-instruct
 tags:
 - generated_from_trainer
-model-index:
-- name: tFINE-900m-e16-d32-flan-infinity-instruct-7m-T2T_en-1024-infinity-instruct-7m-T2T_en-1024-v2
-  results: []
+datasets:
+- pszemraj/infinity-instruct-7m-T2T_en
 ---
 
-<!-- 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-900m-e16-d32-flan-infinity-instruct-7m-T2T_en-1024-infinity-instruct-7m-T2T_en-1024-v2
+# BEE-spoke-data/tFINE-900m-e16-d32-instruct_2e
 
-This model is a fine-tuned version of [BEE-spoke-data/tFINE-900m-e16-d32-flan-infinity-instruct-7m-T2T_en-1024](https://huggingface.co/BEE-spoke-data/tFINE-900m-e16-d32-flan-infinity-instruct-7m-T2T_en-1024) on the pszemraj/infinity-instruct-7m-T2T_en dataset.
+> second epoch of fine-tuning on the same dataset w/ different seed
+
+
+This model is a fine-tuned version of [BEE-spoke-data/tFINE-900m-e16-d32-instruct](https://hf.co/BEE-spoke-data/tFINE-900m-e16-d32-instruct) on the pszemraj/infinity-instruct-7m-T2T_en dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.1159
 - Num Input Tokens Seen: 810839096
 
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
 
 ## Training procedure
 
@@ -68,9 +57,3 @@ The following hyperparameters were used during training:
 | 1.0713        | 0.9691 | 20000 | 1.1160          | 785755388         |
 
 
-### Framework versions
-
-- Transformers 4.44.2
-- Pytorch 2.4.1+cu121
-- Datasets 2.21.0
-- Tokenizers 0.19.1