sarcasm_BARThez

README.md

@@ -1,5 +1,57 @@
 ---
-language:
-- fr
-- en
----
+license: apache-2.0
+base_model: moussaKam/barthez-orangesum-abstract
+tags:
+- generated_from_trainer
+model-index:
+- name: sarcasm_BARThez
+ results: []
+---
+
+<!-- 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. -->
+
+# sarcasm_BARThez
+
+This model is a fine-tuned version of [moussaKam/barthez-orangesum-abstract](https://huggingface.co/moussaKam/barthez-orangesum-abstract) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 7.9423
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log | 1.0 | 11 | 7.9423 |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

config.json

@@ -1,4 +1,4 @@
-MBartConfig {
+{
  "_name_or_path": "moussaKam/barthez-orangesum-abstract",
  "activation_dropout": 0.1,
  "activation_function": "gelu",
@@ -39,10 +39,12 @@ MBartConfig {
  "LABEL_1": 1,
  "LABEL_2": 2
  },
+ "max_new_tokens": 30,
  "max_position_embeddings": 1024,
  "model_type": "mbart",
  "normalize_before": true,
  "normalize_embedding": true,
+ "num_beams": 2,
  "num_hidden_layers": 6,
  "pad_token_id": 1,
  "scale_embedding": false,
@@ -58,6 +60,7 @@ MBartConfig {
  }
  },
  "tokenizer_class": "BarthezTokenizer",
+ "torch_dtype": "float32",
  "transformers_version": "4.38.1",
  "use_cache": true,
  "vocab_size": 50002

generation_config.json

@@ -1,7 +1,10 @@
 {
- "do_sample": true,
+ "bos_token_id": 0,
+ "decoder_start_token_id": 2,
  "eos_token_id": 2,
+ "forced_eos_token_id": 2,
  "max_new_tokens": 30,
  "num_beams": 2,
+ "pad_token_id": 1,
  "transformers_version": "4.38.1"
 }

model.safetensors

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special_tokens_map.json

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+{
+ "bos_token": "<s>",
+ "cls_token": "<s>",
+ "eos_token": "</s>",
+ "mask_token": {
+ "content": "<mask>",
+ "lstrip": true,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false
+ },
+ "pad_token": "<pad>",
+ "sep_token": "</s>",
+ "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
+ "added_tokens_decoder": {
+ "0": {
+ "content": "<s>",
+ "lstrip": false,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
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+ "special": true
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+ "2": {
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+ "3": {
+ "content": "<unk>",
+ "lstrip": false,
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+ "single_word": false,
+ "special": true
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+ "50001": {
+ "content": "<mask>",
+ "lstrip": true,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false,
+ "special": true
+ }
+ },
+ "bos_token": "<s>",
+ "clean_up_tokenization_spaces": true,
+ "cls_token": "<s>",
+ "eos_token": "</s>",
+ "mask_token": "<mask>",
+ "model_max_length": 1000000000000000019884624838656,
+ "pad_token": "<pad>",
+ "sep_token": "</s>",
+ "tokenizer_class": "BarthezTokenizer",
+ "unk_token": "<unk>"
+}

training_args.bin

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