End of training

README.md

@@ -12,6 +12,8 @@ should probably proofread and complete it, then remove this comment. -->
 # m2m_pt
 
 This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4682
 
 ## Model description
 
@@ -40,10 +42,22 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_steps: 1000
 - num_epochs: 1
-- mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.7388        | 0.09  | 2000  | 0.6464          |
+| 0.6096        | 0.18  | 4000  | 0.5477          |
+| 0.612         | 0.27  | 6000  | 0.5144          |
+| 0.53          | 0.36  | 8000  | 0.4965          |
+| 0.5744        | 0.45  | 10000 | 0.4856          |
+| 0.5435        | 0.54  | 12000 | 0.4776          |
+| 0.5428        | 0.63  | 14000 | 0.4726          |
+| 0.5065        | 0.72  | 16000 | 0.4696          |
+| 0.5287        | 0.81  | 18000 | 0.4685          |
+| 0.5032        | 0.9   | 20000 | 0.4682          |
+| 0.5451        | 0.99  | 22000 | 0.4682          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fe5962587c35e01e9037daa790dc5f86f180bcf143642595468ec30f0d9d2234
+oid sha256:c74187603ec6a569597054dbd97d8e1b1f82e36085f9ebdb8696060eef728a79
 size 174791872

runs/Jun20_10-48-43_smc-gpu3/events.out.tfevents.1718880526.smc-gpu3.225838.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c79af74825517d9ddc1e0beb5f6b1d756d2c79236ee1d77e826666d0515f9c4f
-size 940659
+oid sha256:982c7d427043c891cc026b5cdbe8dfa6c2e976c218fb7dfb93d970acaebed1fc
+size 951124