Update README.md

README.md

@@ -51,6 +51,8 @@ widget:
 pipeline_tag: text-generation
 datasets:
 - BEE-spoke-data/UltraTextbooks-2.1-fw_mix
+language:
+- en
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -61,7 +63,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 ## Model description
 
-This model is a fine-tuned version of [pszemraj/mega-ar-350m-L3t-v0.07-cosmo_webmath_py](https://hf.co/pszemraj/mega-ar-350m-L3t-v0.07-cosmo_webmath_py) on the BEE-spoke-data/UltraTextbooks-2.1-fw_mix dataset.
+This is a pretraining experiment most recently trained on the BEE-spoke-data/UltraTextbooks-2.1-fw_mix dataset.
 It achieves the following results on the evaluation set:
 - Loss: 2.0787
 - Accuracy: 0.5746
@@ -73,8 +75,8 @@ It achieves the following results on the evaluation set:
 Quick eval for:	pszemraj/mega-ar-350m-L3t-v0.08-ultraTBfw
 
 
-bootstrapping for stddev: perplexity
 hf (pretrained=pszemraj/mega-ar-350m-L3t-v0.08-ultraTBfw,trust_remote_code=True,dtype=float), gen_kwargs: (None), limit: 0.99999, num_fewshot: None, batch_size: 8
+
 |    Tasks     |Version|Filter|n-shot|  Metric  | Value |   |Stderr|
 |--------------|------:|------|-----:|----------|------:|---|-----:|
 |arc_easy      |      1|none  |     0|acc       | 0.4246|±  |0.0139|