aleoaaaa commited on
Commit
64a373d
1 Parent(s): 69844ff

End of training

Browse files
README.md ADDED
@@ -0,0 +1,64 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: mrm8488/camembert2camembert_shared-finetuned-french-summarization
3
+ tags:
4
+ - generated_from_trainer
5
+ metrics:
6
+ - rouge
7
+ model-index:
8
+ - name: camembert2camembert_shared-finetuned-french-summarization_finetuned_20_06_14_46
9
+ results: []
10
+ ---
11
+
12
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
+ should probably proofread and complete it, then remove this comment. -->
14
+
15
+ # camembert2camembert_shared-finetuned-french-summarization_finetuned_20_06_14_46
16
+
17
+ This model is a fine-tuned version of [mrm8488/camembert2camembert_shared-finetuned-french-summarization](https://huggingface.co/mrm8488/camembert2camembert_shared-finetuned-french-summarization) on the None dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Loss: 0.4465
20
+ - Rouge1: 0.7331
21
+ - Rouge2: 0.481
22
+ - Rougel: 0.7332
23
+ - Rougelsum: 0.7331
24
+ - Gen Len: 6.5145
25
+
26
+ ## Model description
27
+
28
+ More information needed
29
+
30
+ ## Intended uses & limitations
31
+
32
+ More information needed
33
+
34
+ ## Training and evaluation data
35
+
36
+ More information needed
37
+
38
+ ## Training procedure
39
+
40
+ ### Training hyperparameters
41
+
42
+ The following hyperparameters were used during training:
43
+ - learning_rate: 2e-05
44
+ - train_batch_size: 2
45
+ - eval_batch_size: 2
46
+ - seed: 42
47
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
48
+ - lr_scheduler_type: linear
49
+ - num_epochs: 1
50
+ - mixed_precision_training: Native AMP
51
+
52
+ ### Training results
53
+
54
+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
55
+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
56
+ | 0.3821 | 1.0 | 4000 | 0.4465 | 0.7331 | 0.481 | 0.7332 | 0.7331 | 6.5145 |
57
+
58
+
59
+ ### Framework versions
60
+
61
+ - Transformers 4.41.2
62
+ - Pytorch 2.3.0+cu121
63
+ - Datasets 2.19.2
64
+ - Tokenizers 0.19.1
generation_config.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 5,
3
+ "decoder_start_token_id": 5,
4
+ "early_stopping": true,
5
+ "eos_token_id": 6,
6
+ "length_penalty": 2.0,
7
+ "max_length": 64,
8
+ "no_repeat_ngram_size": 3,
9
+ "num_beams": 4,
10
+ "pad_token_id": 6,
11
+ "transformers_version": "4.41.2"
12
+ }
runs/Jun20_14-46-16_t1-le-90-gra7/events.out.tfevents.1718894777.t1-le-90-gra7.22250.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:597139169d20b38021796b595f2da806cd06c03d00d3e1697b879e575aa981d3
3
- size 11191
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:75fc63dfeb462fc7834d0242f567720c680c9b7087ad9054f0f92a0c556365f1
3
+ size 12070