End of training

README.md

@@ -1,4 +1,5 @@
 ---
+library_name: transformers
 license: apache-2.0
 base_model: google/flan-t5-base
 tags:
@@ -22,7 +23,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 47.2141
+      value: 47.355
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,12 +33,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the samsum dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3723
-- Rouge1: 47.2141
-- Rouge2: 23.4799
-- Rougel: 39.7474
-- Rougelsum: 43.3222
-- Gen Len: 17.2589
+- Loss: 1.3736
+- Rouge1: 47.355
+- Rouge2: 23.7601
+- Rougel: 39.8403
+- Rougelsum: 43.4718
+- Gen Len: 17.1575
 
 ## Model description
 
@@ -68,49 +69,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 1.4665        | 1.0   | 921  | 1.3915          | 46.9661 | 23.1441 | 39.2886 | 43.1249   | 17.2894 |
-| 1.3722        | 2.0   | 1842 | 1.3778          | 47.1196 | 23.1221 | 39.6222 | 43.3404   | 17.1905 |
-| 1.3145        | 3.0   | 2763 | 1.3723          | 47.2141 | 23.4799 | 39.7474 | 43.3222   | 17.2589 |
-| 1.2767        | 4.0   | 3684 | 1.3787          | 47.1852 | 23.5757 | 39.7355 | 43.4915   | 17.4554 |
-| 1.257         | 5.0   | 4605 | 1.3742          | 47.4921 | 23.6605 | 39.9254 | 43.7327   | 17.3529 |
+| 1.3641        | 1.0   | 921  | 1.3780          | 47.4054 | 23.6308 | 39.8273 | 43.3697   | 17.3004 |
+| 1.3074        | 2.0   | 1842 | 1.3736          | 47.355  | 23.7601 | 39.8403 | 43.4718   | 17.1575 |
+| 1.2592        | 3.0   | 2763 | 1.3740          | 47.2208 | 23.4972 | 39.7293 | 43.2546   | 17.2320 |
+| 1.2232        | 4.0   | 3684 | 1.3794          | 47.9156 | 24.2451 | 40.2628 | 43.9122   | 17.4017 |
+| 1.2042        | 5.0   | 4605 | 1.3780          | 47.8982 | 24.1707 | 40.2955 | 43.8939   | 17.3712 |
 
 
 ### Framework versions
 
-- Transformers 4.42.4
-- Pytorch 2.1.2
-- Datasets 2.20.0
+- Transformers 4.44.2
+- Pytorch 2.4.0
+- Datasets 3.0.0
 - Tokenizers 0.19.1
-
-### How to use model
-```py
-from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
-
-ckpt = 'sharmax-vikas/flan-t5-base-samsum'
-tokenizer = AutoTokenizer.from_pretrained(ckpt)
-# Use AutoModelForSeq2SeqLM for text generation tasks like summarization
-model = AutoModelForSeq2SeqLM.from_pretrained(ckpt) 
-
-summarize = pipeline('summarization', tokenizer=tokenizer, model=model)
-
-result = summarize('''Hannah: Hey, do you have Betty's number?
-Amanda: Lemme check
-Hannah: <file_gif>
-Amanda: Sorry, can't find it.
-Amanda: Ask Larry
-Amanda: He called her last time we were at the park together
-Hannah: I don't know him well
-Hannah: <file_gif>
-Amanda: Don't be shy, he's very nice
-Hannah: If you say so..
-Hannah: I'd rather you texted him
-Amanda: Just text him 🙂
-Hannah: Urgh.. Alright
-Hannah: Bye
-Amanda: Bye bye''')
-
-print(result[0])
-
-#{'summary_text': "Amanda can't find Betty's number. Amanda will ask Larry. Larry called Betty last time they were at the park together."}
-```
-

config.json

@@ -56,7 +56,7 @@
   },
   "tie_word_embeddings": false,
   "torch_dtype": "float32",
-  "transformers_version": "4.42.4",
+  "transformers_version": "4.44.2",
   "use_cache": true,
   "vocab_size": 32128
 }

generation_config.json

@@ -2,5 +2,5 @@
   "decoder_start_token_id": 0,
   "eos_token_id": 1,
   "pad_token_id": 0,
-  "transformers_version": "4.42.4"
+  "transformers_version": "4.44.2"
 }

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