Training complete

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-bcl](https://huggingface.co/Helsinki-NLP/opus-mt-en-bcl) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.9136
-- Bleu: 17.2864
+- Loss: 3.9026
+- Bleu: 14.8370
 
 ## Model description
 
@@ -53,7 +53,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.38.2
+- Transformers 4.40.0
 - Pytorch 2.2.1+cu121
 - Datasets 2.19.0
-- Tokenizers 0.15.2
+- Tokenizers 0.19.1

generation_config.json

@@ -12,5 +12,5 @@
   "num_beams": 4,
   "pad_token_id": 58454,
   "renormalize_logits": true,
-  "transformers_version": "4.38.2"
+  "transformers_version": "4.40.0"
 }

runs/Apr26_13-52-56_b15ee3655862/events.out.tfevents.1714140151.b15ee3655862.374.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7cd815fbacdf10d52a13baaec858554b95256d1b48d9c932e05b2111445334d3
+size 407