Merge branch 'main' of https://huggingface.co/crscardellino/flisol-cba-martin-fierro

README.md

@@ -1,25 +1,65 @@
-Hugging Face: IA Colaborativa
-=============================
+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: flisol-cba-martin-fierro
+  results: []
+---
 
-En este repositorio estará disponible el código y modelo que entrené para la
-charla ["Hugging Face: IA Colaborativa"](https://eventol.flisol.org.ar/events/cordoba2023/activity/378/)
-del [FLISoL de Córdoba](https://cordoba.flisol.org.ar), Argentina, de 2023.
+<!-- 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. -->
 
-Para inicializar el setup hace falta tener instalado y activado
-[`git-lfs`](https://git-lfs.com/).
+# flisol-cba-martin-fierro
 
-Pueden clonar el repositorio con:
+This model is a fine-tuned version of [DeepESP/gpt2-spanish](https://huggingface.co/DeepESP/gpt2-spanish) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.9067
 
-    $ git clone https://huggingface.co/crscardellino/flisol-cba-martin-fierro
+## Model description
 
-Y luego crean el entorno e instalan los requerimientos.
+More information needed
 
-    $ python -m venv flisol-venv
-    $ source ./flisol-venv/bin/activate
-    (flisol-venv) $ pip install -r requirements.txt
+## Intended uses & limitations
 
-El código está probado con Python 3.10, pero debería funcionar con Python >=
-3.8. En los requerimientos está organizado para instalar
-[PyTorch](https://pytorch.org/) v2.0.0 para cpu, pero pueden ajustarlo para
-utilizar GPUs suponiendo que cumplan los requerimientos de CUDA.
+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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 4.3864        | 1.0   | 18   | 4.2025          |
+| 3.948         | 2.0   | 36   | 4.0440          |
+| 3.7962        | 3.0   | 54   | 3.9804          |
+| 3.6105        | 4.0   | 72   | 3.9458          |
+| 3.4444        | 5.0   | 90   | 3.9280          |
+| 3.3855        | 6.0   | 108  | 3.9192          |
+| 3.3142        | 7.0   | 126  | 3.9091          |
+| 3.2192        | 8.0   | 144  | 3.9074          |
+| 3.1615        | 9.0   | 162  | 3.9070          |
+| 3.1637        | 10.0  | 180  | 3.9067          |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.0+cpu
+- Datasets 2.11.0
+- Tokenizers 0.13.3

config.json

@@ -0,0 +1,40 @@
+{
+  "_name_or_path": "DeepESP/gpt2-spanish",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50256,
+  "gradient_checkpointing": false,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 1024,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 12,
+  "n_positions": 1024,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 50
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.1",
+  "use_cache": true,
+  "vocab_size": 50257
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.28.1"
+}

pytorch_model.bin

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+oid sha256:b1e06b84b625ee566a1e8dcc2c7dd064d63481f644349828709ab7757e9dfce0
+size 510395581

training_args.bin

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+size 3579