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README.md

@@ -1,7 +1,57 @@
 ---
 license: bsd-3-clause
+base_model: Salesforce/codegen-350M-multi
+tags:
+- generated_from_trainer
 datasets:
 - EddieChen372/react_repos
-tags:
-- code
----
+model-index:
+- name: codegen-350M-finetuned
+  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. -->
+
+# codegen-350M-finetuned
+
+This model is a fine-tuned version of [Salesforce/codegen-350M-multi](https://huggingface.co/Salesforce/codegen-350M-multi) on the EddieChen372/react_repos dataset.
+
+## 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: 1
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.32.0.dev0
+- Pytorch 2.0.1+cu117
+- Datasets 2.10.1
+- Tokenizers 0.13.3

added_tokens.json

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+}

all_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 0.99,
+    "train_loss": 1.926696175023129,
+    "train_runtime": 735.6871,
+    "train_samples": 2462,
+    "train_samples_per_second": 3.347,
+    "train_steps_per_second": 0.103
+}

config.json

@@ -0,0 +1,42 @@
+{
+  "_name_or_path": "Salesforce/codegen-350M-multi",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "CodeGenForCausalLM"
+  ],
+  "attn_pdrop": 0.0,
+  "bos_token_id": 1,
+  "embd_pdrop": 0.0,
+  "eos_token_id": 50256,
+  "gradient_checkpointing": false,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "codegen",
+  "n_ctx": 2048,
+  "n_embd": 1024,
+  "n_head": 16,
+  "n_inner": null,
+  "n_layer": 20,
+  "n_positions": 2048,
+  "resid_pdrop": 0.0,
+  "rotary_dim": 32,
+  "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,
+      "temperature": 1.0
+    }
+  },
+  "tie_word_embeddings": false,
+  "tokenizer_class": "GPT2Tokenizer",
+  "torch_dtype": "float16",
+  "transformers_version": "4.32.0.dev0",
+  "use_cache": true,
+  "vocab_size": 51200
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 50256,
+  "transformers_version": "4.32.0.dev0"
+}

pytorch_model.bin

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+size 1426901345

special_tokens_map.json

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+{
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "unk_token": "<|endoftext|>"
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "model_max_length": 2048,
+  "tokenizer_class": "CodeGenTokenizer",
+  "unk_token": "<|endoftext|>"
+}

train_results.json

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+{
+    "epoch": 0.99,
+    "train_loss": 1.926696175023129,
+    "train_runtime": 735.6871,
+    "train_samples": 2462,
+    "train_samples_per_second": 3.347,
+    "train_steps_per_second": 0.103
+}

trainer_state.json

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+  "best_model_checkpoint": null,
+  "epoch": 0.9878147847278635,
+  "eval_steps": 500,
+  "global_step": 76,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "step": 76,
+      "total_flos": 9093339118829568.0,
+      "train_loss": 1.926696175023129,
+      "train_runtime": 735.6871,
+      "train_samples_per_second": 3.347,
+      "train_steps_per_second": 0.103
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 76,
+  "num_train_epochs": 1,
+  "save_steps": 500,
+  "total_flos": 9093339118829568.0,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

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