Model save

README.md

@@ -13,9 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ghc-google-t5-v1_1-xl-intra-frequency-model-cross-ent
 
-This model is a fine-tuned version of [google/t5-v1_1-xl](https://huggingface.co/google/t5-v1_1-xl) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: nan
+This model is a fine-tuned version of [google/t5-v1_1-xl](https://huggingface.co/google/t5-v1_1-xl) on an unknown dataset.
 
 ## Model description
 
@@ -42,19 +40,9 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 50
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 7.8207        | 1.0   | 125  | 7.625           |
-| 0.0           | 2.0   | 250  | nan             |
-| 0.0           | 3.0   | 375  | nan             |
-| 0.0           | 4.0   | 500  | nan             |
-
-
 ### Framework versions
 
-- Transformers 4.34.0
-- Pytorch 2.1.0+cu121
-- Datasets 2.6.1
-- Tokenizers 0.14.1
+- Transformers 4.35.2
+- Pytorch 2.1.1+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e06f8c1b3fa71bf4e58cd9b9a2966f6750a211aad0ee7e4291bb24da1771143c
 size 18915040