Training done for primera-pubmed-20k

README.md

@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [allenai/PRIMERA](https://huggingface.co/allenai/PRIMERA) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1417
+- Loss: 0.9689
 
 ## Model description
 
@@ -46,14 +46,14 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 1.3016        | 0.75  | 500  | 1.1417          |
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.0637        | 0.7477 | 500  | 0.9689          |
 
 
 ### Framework versions
 
-- Transformers 4.38.2
+- Transformers 4.40.0
 - Pytorch 2.2.1+cu121
-- Datasets 2.18.0
-- Tokenizers 0.15.2
+- Datasets 2.19.0
+- Tokenizers 0.19.1

config.json

@@ -92,7 +92,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.38.2",
+  "transformers_version": "4.40.0",
   "use_cache": true,
   "vocab_size": 50266
 }

generation_config.json

@@ -5,5 +5,5 @@
   "eos_token_id": 2,
   "no_repeat_ngram_size": 3,
   "pad_token_id": 1,
-  "transformers_version": "4.38.2"
+  "transformers_version": "4.40.0"
 }

model.safetensors

@@ -1,3 +1,3 @@
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 size 1789150784

tokenizer.json

@@ -106,6 +106,7 @@
     "end_of_word_suffix": "",
     "fuse_unk": false,
     "byte_fallback": false,
+    "ignore_merges": false,
     "vocab": {
       "<s>": 0,
       "<pad>": 1,

training_args.bin

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