End of training

README.md

@@ -11,13 +11,11 @@ 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/jadavpur/huggingface/runs/nqfl3694)
-[<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/jadavpur/huggingface/runs/nqfl3694)
 # flan-t5-base-cnn_dailymail
 
 This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6839
+- Loss: 1.9141
 
 ## Model description
 
@@ -42,18 +40,20 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.8567        | 1.0   | 125  | 1.6839          |
+| 1.8436        | 1.0   | 125  | 1.8955          |
+| 2.0678        | 2.0   | 250  | 1.9134          |
+| 1.8895        | 3.0   | 375  | 1.9141          |
 
 
 ### Framework versions
 
-- Transformers 4.41.0
+- Transformers 4.41.1
 - Pytorch 2.1.2
 - Datasets 2.19.1
 - Tokenizers 0.19.1

config.json

@@ -56,7 +56,7 @@
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   "tie_word_embeddings": false,
   "torch_dtype": "float32",
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+  "transformers_version": "4.41.1",
   "use_cache": true,
   "vocab_size": 32128
 }

generation_config.json

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   "eos_token_id": 1,
   "pad_token_id": 0,
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 }

model.safetensors

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tokenizer.json

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   "truncation": {
     "direction": "Right",
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     "strategy": "LongestFirst",
     "stride": 0
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   "padding": {
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     "direction": "Right",
     "pad_to_multiple_of": null,

training_args.bin

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