Training in progress, epoch 0, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: Vikhrmodels/Vikhr-7B-instruct_0.4
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.13.2

last-checkpoint/adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "Vikhrmodels/Vikhr-7B-instruct_0.4",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "q_proj",
+    "down_proj",
+    "up_proj",
+    "k_proj",
+    "v_proj",
+    "gate_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

last-checkpoint/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4517700f423d219259ef9d853dd4788f426d4a7e390ddf3af89c78c4e7a3f104
+size 83945296

last-checkpoint/added_tokens.json

@@ -0,0 +1,16 @@
+{
+  "<|future_token_0|>": 79085,
+  "<|future_token_10|>": 79095,
+  "<|future_token_11|>": 79096,
+  "<|future_token_1|>": 79086,
+  "<|future_token_2|>": 79087,
+  "<|future_token_3|>": 79088,
+  "<|future_token_4|>": 79089,
+  "<|future_token_5|>": 79090,
+  "<|future_token_6|>": 79091,
+  "<|future_token_7|>": 79092,
+  "<|future_token_8|>": 79093,
+  "<|future_token_9|>": 79094,
+  "<|im_end|>": 79097,
+  "<|im_start|>": 79098
+}

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be78be91b242b5f671aadaba918ea2a2209d1887ee055d41417bc6332d8928bd
+size 43122580

last-checkpoint/rng_state_0.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fd39bdff4ddae1225ecad4b5ee527b630aaaf3f97ae234bb9307042c0cb466f8
+size 14960

last-checkpoint/rng_state_1.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e1423b6ddaf4c4ebc4ae8c461b54c4ea52c0062aa34412f3701c8622802b062a
+size 15024

last-checkpoint/rng_state_2.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0d6b698a8747bf13fc29f1c52248caa4e13f1831f1ca8b6203b238e64b4c1e15
+size 15024

last-checkpoint/rng_state_3.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ecc3a080a664ee68eaed8e30afb687b95aab587592ba77170cd3615b87c060cf
+size 15024

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d2d754412c61116546142914503e7369d0cc35d3c380a07e5218f595d76b6d96
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,34 @@
+{
+  "additional_special_tokens": [
+    "<|im_end|>",
+    "<|im_start|>"
+  ],
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

last-checkpoint/tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e3f0f84b42f79947ab92931c7c5ded699e845e6862e4e29f0b97f87e279da601
+size 1636166

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,159 @@
+{
+  "add_bos_token": false,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "79085": {
+      "content": "<|future_token_0|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "79086": {
+      "content": "<|future_token_1|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "79087": {
+      "content": "<|future_token_2|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "79088": {
+      "content": "<|future_token_3|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "79089": {
+      "content": "<|future_token_4|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "79090": {
+      "content": "<|future_token_5|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "79091": {
+      "content": "<|future_token_6|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "79092": {
+      "content": "<|future_token_7|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "79093": {
+      "content": "<|future_token_8|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "79094": {
+      "content": "<|future_token_9|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "79095": {
+      "content": "<|future_token_10|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "79096": {
+      "content": "<|future_token_11|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "79097": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "79098": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_end|>",
+    "<|im_start|>"
+  ],
+  "bos_token": "<s>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 1512,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,353 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.27481964960494676,
+  "eval_steps": 50,
+  "global_step": 200,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0013740982480247338,
+      "eval_loss": 1.8899611234664917,
+      "eval_runtime": 22.0595,
+      "eval_samples_per_second": 55.577,
+      "eval_steps_per_second": 6.981,
+      "step": 1
+    },
+    {
+      "epoch": 0.006870491240123669,
+      "grad_norm": 2.9780120849609375,
+      "learning_rate": 5e-05,
+      "loss": 1.3292,
+      "step": 5
+    },
+    {
+      "epoch": 0.013740982480247337,
+      "grad_norm": 2.4439384937286377,
+      "learning_rate": 0.0001,
+      "loss": 1.7698,
+      "step": 10
+    },
+    {
+      "epoch": 0.020611473720371008,
+      "grad_norm": 1.4311202764511108,
+      "learning_rate": 9.98292246503335e-05,
+      "loss": 1.2086,
+      "step": 15
+    },
+    {
+      "epoch": 0.027481964960494674,
+      "grad_norm": 2.142937660217285,
+      "learning_rate": 9.931806517013612e-05,
+      "loss": 1.0188,
+      "step": 20
+    },
+    {
+      "epoch": 0.034352456200618345,
+      "grad_norm": 3.1501011848449707,
+      "learning_rate": 9.847001329696653e-05,
+      "loss": 0.9032,
+      "step": 25
+    },
+    {
+      "epoch": 0.041222947440742015,
+      "grad_norm": 1.5737018585205078,
+      "learning_rate": 9.729086208503174e-05,
+      "loss": 0.6516,
+      "step": 30
+    },
+    {
+      "epoch": 0.04809343868086568,
+      "grad_norm": 2.364994525909424,
+      "learning_rate": 9.578866633275288e-05,
+      "loss": 0.7806,
+      "step": 35
+    },
+    {
+      "epoch": 0.05496392992098935,
+      "grad_norm": 1.5390338897705078,
+      "learning_rate": 9.397368756032445e-05,
+      "loss": 0.5795,
+      "step": 40
+    },
+    {
+      "epoch": 0.06183442116111302,
+      "grad_norm": 1.4929436445236206,
+      "learning_rate": 9.185832391312644e-05,
+      "loss": 0.5754,
+      "step": 45
+    },
+    {
+      "epoch": 0.06870491240123669,
+      "grad_norm": 2.5989840030670166,
+      "learning_rate": 8.945702546981969e-05,
+      "loss": 0.5669,
+      "step": 50
+    },
+    {
+      "epoch": 0.06870491240123669,
+      "eval_loss": 0.5480884313583374,
+      "eval_runtime": 24.1912,
+      "eval_samples_per_second": 50.68,
+      "eval_steps_per_second": 6.366,
+      "step": 50
+    },
+    {
+      "epoch": 0.07557540364136035,
+      "grad_norm": 2.0532259941101074,
+      "learning_rate": 8.678619553365659e-05,
+      "loss": 0.5021,
+      "step": 55
+    },
+    {
+      "epoch": 0.08244589488148403,
+      "grad_norm": 2.156156063079834,
+      "learning_rate": 8.386407858128706e-05,
+      "loss": 0.5795,
+      "step": 60
+    },
+    {
+      "epoch": 0.0893163861216077,
+      "grad_norm": 1.017999529838562,
+      "learning_rate": 8.07106356344834e-05,
+      "loss": 0.4443,
+      "step": 65
+    },
+    {
+      "epoch": 0.09618687736173136,
+      "grad_norm": 1.5915642976760864,
+      "learning_rate": 7.734740790612136e-05,
+      "loss": 0.4859,
+      "step": 70
+    },
+    {
+      "epoch": 0.10305736860185503,
+      "grad_norm": 2.771296977996826,
+      "learning_rate": 7.379736965185368e-05,
+      "loss": 0.4962,
+      "step": 75
+    },
+    {
+      "epoch": 0.1099278598419787,
+      "grad_norm": 1.728480339050293,
+      "learning_rate": 7.008477123264848e-05,
+      "loss": 0.4257,
+      "step": 80
+    },
+    {
+      "epoch": 0.11679835108210238,
+      "grad_norm": 2.0872411727905273,
+      "learning_rate": 6.623497346023418e-05,
+      "loss": 0.5132,
+      "step": 85
+    },
+    {
+      "epoch": 0.12366884232222604,
+      "grad_norm": 0.9818263053894043,
+      "learning_rate": 6.227427435703997e-05,
+      "loss": 0.384,
+      "step": 90
+    },
+    {
+      "epoch": 0.1305393335623497,
+      "grad_norm": 2.6964120864868164,
+      "learning_rate": 5.8229729514036705e-05,
+      "loss": 0.4728,
+      "step": 95
+    },
+    {
+      "epoch": 0.13740982480247338,
+      "grad_norm": 3.166550874710083,
+      "learning_rate": 5.4128967273616625e-05,
+      "loss": 0.4542,
+      "step": 100
+    },
+    {
+      "epoch": 0.13740982480247338,
+      "eval_loss": 0.4625904858112335,
+      "eval_runtime": 27.6513,
+      "eval_samples_per_second": 44.338,
+      "eval_steps_per_second": 5.569,
+      "step": 100
+    },
+    {
+      "epoch": 0.14428031604259706,
+      "grad_norm": 2.974519968032837,
+      "learning_rate": 5e-05,
+      "loss": 0.3985,
+      "step": 105
+    },
+    {
+      "epoch": 0.1511508072827207,
+      "grad_norm": 2.1469390392303467,
+      "learning_rate": 4.5871032726383386e-05,
+      "loss": 0.4927,
+      "step": 110
+    },
+    {
+      "epoch": 0.15802129852284438,
+      "grad_norm": 1.4853178262710571,
+      "learning_rate": 4.17702704859633e-05,
+      "loss": 0.4224,
+      "step": 115
+    },
+    {
+      "epoch": 0.16489178976296806,
+      "grad_norm": 1.9782497882843018,
+      "learning_rate": 3.772572564296005e-05,
+      "loss": 0.4623,
+      "step": 120
+    },
+    {
+      "epoch": 0.1717622810030917,
+      "grad_norm": 2.6518592834472656,
+      "learning_rate": 3.3765026539765834e-05,
+      "loss": 0.446,
+      "step": 125
+    },
+    {
+      "epoch": 0.1786327722432154,
+      "grad_norm": 1.3509132862091064,
+      "learning_rate": 2.991522876735154e-05,
+      "loss": 0.3648,
+      "step": 130
+    },
+    {
+      "epoch": 0.18550326348333906,
+      "grad_norm": 2.0251638889312744,
+      "learning_rate": 2.6202630348146324e-05,
+      "loss": 0.4999,
+      "step": 135
+    },
+    {
+      "epoch": 0.19237375472346271,
+      "grad_norm": 0.9267457127571106,
+      "learning_rate": 2.2652592093878666e-05,
+      "loss": 0.3789,
+      "step": 140
+    },
+    {
+      "epoch": 0.1992442459635864,
+      "grad_norm": 1.439977765083313,
+      "learning_rate": 1.928936436551661e-05,
+      "loss": 0.4423,
+      "step": 145
+    },
+    {
+      "epoch": 0.20611473720371007,
+      "grad_norm": 2.450988292694092,
+      "learning_rate": 1.6135921418712956e-05,
+      "loss": 0.415,
+      "step": 150
+    },
+    {
+      "epoch": 0.20611473720371007,
+      "eval_loss": 0.4055578112602234,
+      "eval_runtime": 21.6843,
+      "eval_samples_per_second": 56.539,
+      "eval_steps_per_second": 7.102,
+      "step": 150
+    },
+    {
+      "epoch": 0.21298522844383375,
+      "grad_norm": 1.2217081785202026,
+      "learning_rate": 1.3213804466343421e-05,
+      "loss": 0.3577,
+      "step": 155
+    },
+    {
+      "epoch": 0.2198557196839574,
+      "grad_norm": 2.6271615028381348,
+      "learning_rate": 1.0542974530180327e-05,
+      "loss": 0.4839,
+      "step": 160
+    },
+    {
+      "epoch": 0.22672621092408107,
+      "grad_norm": 0.8500118255615234,
+      "learning_rate": 8.141676086873572e-06,
+      "loss": 0.3721,
+      "step": 165
+    },
+    {
+      "epoch": 0.23359670216420475,
+      "grad_norm": 1.427514910697937,
+      "learning_rate": 6.026312439675552e-06,
+      "loss": 0.3955,
+      "step": 170
+    },
+    {
+      "epoch": 0.2404671934043284,
+      "grad_norm": 3.0958852767944336,
+      "learning_rate": 4.2113336672471245e-06,
+      "loss": 0.4093,
+      "step": 175
+    },
+    {
+      "epoch": 0.24733768464445208,
+      "grad_norm": 1.190810203552246,
+      "learning_rate": 2.7091379149682685e-06,
+      "loss": 0.3362,
+      "step": 180
+    },
+    {
+      "epoch": 0.2542081758845757,
+      "grad_norm": 1.97514808177948,
+      "learning_rate": 1.5299867030334814e-06,
+      "loss": 0.4994,
+      "step": 185
+    },
+    {
+      "epoch": 0.2610786671246994,
+      "grad_norm": 0.8746953010559082,
+      "learning_rate": 6.819348298638839e-07,
+      "loss": 0.2927,
+      "step": 190
+    },
+    {
+      "epoch": 0.2679491583648231,
+      "grad_norm": 1.4259588718414307,
+      "learning_rate": 1.7077534966650766e-07,
+      "loss": 0.4396,
+      "step": 195
+    },
+    {
+      "epoch": 0.27481964960494676,
+      "grad_norm": 3.175976276397705,
+      "learning_rate": 0.0,
+      "loss": 0.4409,
+      "step": 200
+    },
+    {
+      "epoch": 0.27481964960494676,
+      "eval_loss": 0.3957661986351013,
+      "eval_runtime": 21.9144,
+      "eval_samples_per_second": 55.945,
+      "eval_steps_per_second": 7.027,
+      "step": 200
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 200,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 3.040337142229238e+17,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d5f10d28d6453b8da16965451fe016fac9b8367fc1870b6d9fd9bc105528c035
+size 6712