nazemi commited on
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End of training

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  1. README.md +7 -14
  2. added_tokens.json +102 -0
  3. config.json +5 -6
  4. runs/Dec28_08-01-58_192168021136.tpgi.com.au/events.out.tfevents.1703721718.192168021136.tpgi.com.au.32291.0 +3 -0
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  42. special_tokens_map.json +21 -3
  43. tokenizer_config.json +1 -0
  44. training_args.bin +2 -2
README.md CHANGED
@@ -1,6 +1,6 @@
1
  ---
2
  license: apache-2.0
3
- base_model: google/flan-t5-base
4
  tags:
5
  - generated_from_trainer
6
  model-index:
@@ -13,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
13
 
14
  # task_extractor
15
 
16
- This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 0.0352
19
 
20
  ## Model description
21
 
@@ -40,22 +40,15 @@ The following hyperparameters were used during training:
40
  - seed: 42
41
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
42
  - lr_scheduler_type: linear
43
- - training_steps: 10
44
 
45
  ### Training results
46
 
47
  | Training Loss | Epoch | Step | Validation Loss |
48
  |:-------------:|:-----:|:----:|:---------------:|
49
- | 0.0818 | 0.01 | 1 | 0.0594 |
50
- | 0.0621 | 0.01 | 2 | 0.0537 |
51
- | 0.0616 | 0.02 | 3 | 0.0490 |
52
- | 0.0639 | 0.02 | 4 | 0.0451 |
53
- | 0.0571 | 0.03 | 5 | 0.0419 |
54
- | 0.0617 | 0.04 | 6 | 0.0395 |
55
- | 0.06 | 0.04 | 7 | 0.0377 |
56
- | 0.0523 | 0.05 | 8 | 0.0364 |
57
- | 0.0486 | 0.05 | 9 | 0.0356 |
58
- | 0.0534 | 0.06 | 10 | 0.0352 |
59
 
60
 
61
  ### Framework versions
 
1
  ---
2
  license: apache-2.0
3
+ base_model: t5-base
4
  tags:
5
  - generated_from_trainer
6
  model-index:
 
13
 
14
  # task_extractor
15
 
16
+ This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 0.3190
19
 
20
  ## Model description
21
 
 
40
  - seed: 42
41
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
42
  - lr_scheduler_type: linear
43
+ - num_epochs: 3.0
44
 
45
  ### Training results
46
 
47
  | Training Loss | Epoch | Step | Validation Loss |
48
  |:-------------:|:-----:|:----:|:---------------:|
49
+ | 0.7089 | 1.0 | 165 | 0.4873 |
50
+ | 1.1948 | 2.0 | 330 | 0.3530 |
51
+ | 0.6685 | 3.0 | 495 | 0.3190 |
 
 
 
 
 
 
 
52
 
53
 
54
  ### Framework versions
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config.json CHANGED
@@ -1,20 +1,20 @@
1
  {
2
- "_name_or_path": "google/flan-t5-base",
3
  "architectures": [
4
  "T5ForConditionalGeneration"
5
  ],
6
  "classifier_dropout": 0.0,
7
- "d_ff": 2048,
8
  "d_kv": 64,
9
  "d_model": 768,
10
  "decoder_start_token_id": 0,
11
- "dense_act_fn": "gelu_new",
12
  "dropout_rate": 0.1,
13
  "eos_token_id": 1,
14
- "feed_forward_proj": "gated-gelu",
15
  "initializer_factor": 1.0,
16
  "is_encoder_decoder": true,
17
- "is_gated_act": true,
18
  "layer_norm_epsilon": 1e-06,
19
  "model_type": "t5",
20
  "n_positions": 512,
@@ -54,7 +54,6 @@
54
  "prefix": "translate English to Romanian: "
55
  }
56
  },
57
- "tie_word_embeddings": false,
58
  "torch_dtype": "float32",
59
  "transformers_version": "4.35.2",
60
  "use_cache": true,
 
1
  {
2
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  "T5ForConditionalGeneration"
5
  ],
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  "layer_norm_epsilon": 1e-06,
19
  "model_type": "t5",
20
  "n_positions": 512,
 
54
  "prefix": "translate English to Romanian: "
55
  }
56
  },
 
57
  "torch_dtype": "float32",
58
  "transformers_version": "4.35.2",
59
  "use_cache": true,
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