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Vas123
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130000

Text Generation
Transformers
TensorBoard
Safetensors
gptj
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
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End of training

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Files changed (12) hide show
  1. README.md +49 -51
  2. config.json +18 -23
  3. generation_config.json +1 -0
  4. model.safetensors +2 -2
  5. runs/Mar07_16-27-25_ab0fb96f36d9/events.out.tfevents.1709828849.ab0fb96f36d9.391.0 +3 -0
  6. runs/Mar07_16-31-01_ab0fb96f36d9/events.out.tfevents.1709829065.ab0fb96f36d9.391.1 +3 -0
  7. runs/Mar07_16-32-29_ab0fb96f36d9/events.out.tfevents.1709829154.ab0fb96f36d9.391.2 +3 -0
  8. runs/Mar07_16-32-29_ab0fb96f36d9/events.out.tfevents.1709829438.ab0fb96f36d9.391.3 +3 -0
  9. runs/Mar07_16-37-22_ab0fb96f36d9/events.out.tfevents.1709829449.ab0fb96f36d9.391.4 +3 -0
  10. runs/Mar07_16-38-38_ab0fb96f36d9/events.out.tfevents.1709829525.ab0fb96f36d9.391.5 +3 -0
  11. tokenizer_config.json +5 -1
  12. training_args.bin +1 -1
README.md CHANGED
@@ -1,6 +1,4 @@
1
  ---
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- license: mit
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- base_model: gpt2
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -13,9 +11,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # 130000
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- This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 5.9987
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  ## Model description
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@@ -49,53 +47,53 @@ The following hyperparameters were used during training:
49
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 0.92 | 3 | 7.0396 |
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- | No log | 1.85 | 6 | 6.5398 |
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- | No log | 2.77 | 9 | 6.3337 |
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- | 6.6916 | 4.0 | 13 | 6.3694 |
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- | 6.6916 | 4.92 | 16 | 6.2945 |
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- | 6.6916 | 5.85 | 19 | 6.3184 |
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- | 6.1092 | 6.77 | 22 | 6.3726 |
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- | 6.1092 | 8.0 | 26 | 6.2948 |
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- | 6.1092 | 8.92 | 29 | 6.3374 |
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- | 6.5151 | 9.85 | 32 | 6.3641 |
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- | 6.5151 | 10.77 | 35 | 6.2335 |
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- | 6.5151 | 12.0 | 39 | 6.1965 |
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- | 5.998 | 12.92 | 42 | 6.0595 |
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- | 5.998 | 13.85 | 45 | 6.0374 |
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- | 5.998 | 14.77 | 48 | 6.0562 |
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- | 5.6623 | 16.0 | 52 | 6.0128 |
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- | 5.6623 | 16.92 | 55 | 5.9999 |
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- | 5.6623 | 17.85 | 58 | 6.0008 |
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- | 5.611 | 18.77 | 61 | 5.9992 |
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- | 5.611 | 20.0 | 65 | 6.0017 |
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- | 5.611 | 20.92 | 68 | 6.0005 |
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- | 5.5519 | 21.85 | 71 | 5.9962 |
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- | 5.5519 | 22.77 | 74 | 5.9964 |
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- | 5.5519 | 24.0 | 78 | 5.9975 |
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- | 5.5841 | 24.92 | 81 | 5.9974 |
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- | 5.5841 | 25.85 | 84 | 6.0000 |
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- | 5.5841 | 26.77 | 87 | 6.0019 |
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- | 5.5582 | 28.0 | 91 | 6.0014 |
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- | 5.5582 | 28.92 | 94 | 6.0016 |
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- | 5.5582 | 29.85 | 97 | 5.9987 |
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- | 5.591 | 30.77 | 100 | 5.9992 |
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- | 5.591 | 32.0 | 104 | 5.9986 |
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- | 5.591 | 32.92 | 107 | 5.9982 |
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- | 5.5638 | 33.85 | 110 | 5.9983 |
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- | 5.5638 | 34.77 | 113 | 5.9987 |
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- | 5.5638 | 36.0 | 117 | 5.9989 |
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- | 5.5683 | 36.92 | 120 | 5.9992 |
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- | 5.5683 | 37.85 | 123 | 5.9995 |
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- | 5.5683 | 38.77 | 126 | 5.9991 |
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- | 5.5628 | 40.0 | 130 | 5.9992 |
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- | 5.5628 | 40.92 | 133 | 5.9992 |
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- | 5.5628 | 41.85 | 136 | 5.9991 |
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- | 5.5628 | 42.77 | 139 | 5.9989 |
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- | 5.5683 | 44.0 | 143 | 5.9987 |
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- | 5.5683 | 44.92 | 146 | 5.9987 |
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- | 5.5683 | 45.85 | 149 | 5.9987 |
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- | 5.5534 | 46.15 | 150 | 5.9987 |
99
 
100
 
101
  ### Framework versions
 
1
  ---
 
 
2
  tags:
3
  - generated_from_trainer
4
  model-index:
 
11
 
12
  # 130000
13
 
14
+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
15
  It achieves the following results on the evaluation set:
16
+ - Loss: 6.0491
17
 
18
  ## Model description
19
 
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
50
+ | No log | 0.92 | 3 | 6.2222 |
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+ | No log | 1.85 | 6 | 6.2146 |
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+ | No log | 2.77 | 9 | 6.2032 |
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+ | 5.9665 | 4.0 | 13 | 6.1877 |
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+ | 5.9665 | 4.92 | 16 | 6.1734 |
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+ | 5.9665 | 5.85 | 19 | 6.1620 |
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+ | 5.8921 | 6.77 | 22 | 6.1539 |
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+ | 5.8921 | 8.0 | 26 | 6.1426 |
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+ | 5.8921 | 8.92 | 29 | 6.1335 |
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+ | 5.8324 | 9.85 | 32 | 6.1277 |
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+ | 5.8324 | 10.77 | 35 | 6.1178 |
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+ | 5.8324 | 12.0 | 39 | 6.1105 |
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+ | 5.8012 | 12.92 | 42 | 6.1059 |
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+ | 5.8012 | 13.85 | 45 | 6.0992 |
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+ | 5.8012 | 14.77 | 48 | 6.0959 |
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+ | 5.7449 | 16.0 | 52 | 6.0910 |
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+ | 5.7449 | 16.92 | 55 | 6.0859 |
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+ | 5.7449 | 17.85 | 58 | 6.0819 |
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+ | 5.7303 | 18.77 | 61 | 6.0767 |
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+ | 5.7303 | 20.0 | 65 | 6.0734 |
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+ | 5.7303 | 20.92 | 68 | 6.0721 |
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+ | 5.6687 | 21.85 | 71 | 6.0694 |
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+ | 5.6687 | 22.77 | 74 | 6.0658 |
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+ | 5.6687 | 24.0 | 78 | 6.0628 |
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+ | 5.6839 | 24.92 | 81 | 6.0627 |
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+ | 5.6839 | 25.85 | 84 | 6.0600 |
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+ | 5.6839 | 26.77 | 87 | 6.0586 |
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+ | 5.6499 | 28.0 | 91 | 6.0572 |
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+ | 5.6499 | 28.92 | 94 | 6.0558 |
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+ | 5.6499 | 29.85 | 97 | 6.0555 |
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+ | 5.6703 | 30.77 | 100 | 6.0545 |
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+ | 5.6703 | 32.0 | 104 | 6.0533 |
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+ | 5.6703 | 32.92 | 107 | 6.0520 |
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+ | 5.6404 | 33.85 | 110 | 6.0518 |
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+ | 5.6404 | 34.77 | 113 | 6.0511 |
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+ | 5.6404 | 36.0 | 117 | 6.0509 |
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+ | 5.6414 | 36.92 | 120 | 6.0504 |
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+ | 5.6414 | 37.85 | 123 | 6.0498 |
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+ | 5.6414 | 38.77 | 126 | 6.0498 |
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+ | 5.6347 | 40.0 | 130 | 6.0496 |
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+ | 5.6347 | 40.92 | 133 | 6.0493 |
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+ | 5.6347 | 41.85 | 136 | 6.0491 |
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+ | 5.6347 | 42.77 | 139 | 6.0491 |
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+ | 5.638 | 44.0 | 143 | 6.0491 |
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+ | 5.638 | 44.92 | 146 | 6.0491 |
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+ | 5.638 | 45.85 | 149 | 6.0491 |
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+ | 5.6249 | 46.15 | 150 | 6.0491 |
97
 
98
 
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  ### Framework versions
config.json CHANGED
@@ -1,39 +1,34 @@
1
  {
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- "_name_or_path": "gpt2",
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  "activation_function": "gelu_new",
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  "architectures": [
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- "GPT2LMHeadModel"
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  ],
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- "attn_pdrop": 0.1,
 
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  "bos_token_id": 0,
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- "embd_pdrop": 0.1,
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  "eos_token_id": 0,
 
 
 
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  "initializer_range": 0.02,
 
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  "layer_norm_epsilon": 1e-05,
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- "model_type": "gpt2",
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- "n_embd": 768,
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  "n_inner": null,
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- "summary_type": "cls_index",
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- "summary_use_proj": true,
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- "task_specific_params": {
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- "text-generation": {
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- "do_sample": true,
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- "max_length": 50
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- }
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- },
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  "torch_dtype": "float32",
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  "transformers_version": "4.38.2",
 
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  "use_cache": true,
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  "vocab_size": 3000
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  }
 
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  {
 
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  "activation_function": "gelu_new",
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  "architectures": [
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+ "GPTJForCausalLM"
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+ "hidden_dropout_prob": 0.0,
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  "initializer_range": 0.02,
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  "layer_norm_epsilon": 1e-05,
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+ "model_type": "gptj",
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  "n_ctx": 512,
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+ "resid_pdrop": 0.0,
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+ "rotary_dim": 4,
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  "scale_attn_weights": true,
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+ "tie_word_embeddings": false,
 
 
 
 
 
 
 
 
 
 
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  "torch_dtype": "float32",
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  "transformers_version": "4.38.2",
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+ "type_vocab_size": 16,
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  "use_cache": true,
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  "vocab_size": 3000
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  }
generation_config.json CHANGED
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