End of training

README.md

@@ -10,11 +10,12 @@ model-index:
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/peterparkercar321-amrita-vishwa-vidyapeetham/huggingface/runs/97jf138x)
 # mbart-large-50-many-to-many-mmt-finetuned-human-to-assistant
 
 This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8285
+- Loss: 1.5397
 
 ## Model description
 
@@ -34,8 +35,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 3e-05
-- train_batch_size: 4
-- eval_batch_size: 4
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -46,21 +47,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 16   | 0.8667          |
-| No log        | 2.0   | 32   | 0.7968          |
-| No log        | 3.0   | 48   | 0.8283          |
-| No log        | 4.0   | 64   | 0.8198          |
-| No log        | 5.0   | 80   | 0.8298          |
-| No log        | 6.0   | 96   | 0.8322          |
-| No log        | 7.0   | 112  | 0.8368          |
-| No log        | 8.0   | 128  | 0.8324          |
-| No log        | 9.0   | 144  | 0.8295          |
-| No log        | 10.0  | 160  | 0.8285          |
+| No log        | 1.0   | 9    | 1.3946          |
+| No log        | 2.0   | 18   | 1.3488          |
+| No log        | 3.0   | 27   | 1.3852          |
+| No log        | 4.0   | 36   | 1.4675          |
+| No log        | 5.0   | 45   | 1.5198          |
+| No log        | 6.0   | 54   | 1.5201          |
+| No log        | 7.0   | 63   | 1.5057          |
+| No log        | 8.0   | 72   | 1.4997          |
+| No log        | 9.0   | 81   | 1.5251          |
+| No log        | 10.0  | 90   | 1.5397          |
 
 
 ### Framework versions
 
-- Transformers 4.42.4
-- Pytorch 2.3.1+cu121
+- Transformers 4.42.3
+- Pytorch 2.1.2
 - Datasets 2.20.0
 - Tokenizers 0.19.1

generation_config.json

@@ -1,4 +1,5 @@
 {
+  "_from_model_config": true,
   "bos_token_id": 0,
   "decoder_start_token_id": 2,
   "early_stopping": true,
@@ -7,5 +8,5 @@
   "max_length": 200,
   "num_beams": 5,
   "pad_token_id": 1,
-  "transformers_version": "4.42.4"
+  "transformers_version": "4.42.3"
 }